ISI Directory

Mayank Kejriwal

Publications

2025
Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning
Cole Gawin, Yidan Sun, Mayank Kejriwal
arXiv preprint arXiv:2502.14086,  2025
View Paper
Designing Semantic Computing for Social Good Applications with Long Tails
Mayank Kejriwal
International Journal of Semantic Computing,  2025
Backlash or reinforcement? Donald Trump’s 2017 inauguration and shifting climate beliefs in the United States
Yidan Sun, Ke Shen, Mayank Kejriwal
npj Climate Action 4 (1), 26,  2025
View Paper
Code-Driven Planning in Grid Worlds with Large Language Models
Ashwath Vaithinathan Aravindan, Zhisheng Tang, Mayank Kejriwal
arXiv e-prints, arXiv: 2505.10749,  2025
Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions
Mayank Kejriwal, Yuesheng Luo
arXiv preprint arXiv:2505.16966,  2025
View Paper
Commonsense AI in the History of the Web
Mayank Kejriwal, Deborah L McGuinness, Henry Lieberman
Companion Proceedings of the ACM on Web Conference 2025, 837-840,  2025
View Paper
Medical school ranking and neighborhood characteristics of initial practice location among physicians
Navapat Nananukul, Mayank Kejriwal
JAMA Network Open 8 (5), e2512474-e2512474,  2025
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What if we implemented a congestion charging scheme in Los Angeles? An epidemiological assessment and predicted impacts
Mayank Kejriwal
SocArXiv,  2025
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Equity and reliability of public electric vehicle charging stations in the United States
Qiao Yu, Tristan Que, Lara J Cushing, Gregory Pierce, Ke Shen, Mayank Kejriwal, Yuan Yao, Yifang Zhu
Nature Communications 16 (1), 1-13,  2025
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Generating novelty in open-world multi-agent strategic board games
Mayank Kejriwal, Shilpa Thomas
arXiv preprint arXiv:2507.03802,  2025
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Multispecies Communities in JK Rowling's Potterworld: A Critical Appraisal
Mayank Kejriwal
Entangled and Empowered: Agency in Multispecies Communities, 137,  2025
Interface for Efficient Structural Analysis and Vertex Search in Complex Networks
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
Advances in Social Networks Analysis and Mining: Proceedings of the 16th …,  2025
Alcohol consumption among university students in ASEAN countries: A systematic review and meta-analysis
Mayank Kejriwal
Cambridge Prisms: Global Mental Health 12,  2025
View Paper
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning
Navapat Nananukul, Yue Zhang, Ryan Lee, Eric Boxer, Jonathan May, Vibhav Giridhar Gogate, Jay Pujara, Mayank Kejriwal
arXiv preprint arXiv:2510.01530,  2025
View Paper
Ontological Modeling of Drug Trafficking in the Global South Using Newspaper Data
Sanju Tiwari, Mayank Kejriwal, Nandana Mihindukulasooriya
European Semantic Web Conference, 75-79,  2025
Semi-Automatic Extraction and Analysis of Health Equity Covariates in Registered Research Projects
Navapat Nananukul, Mayank Kejriwal
Applied Sciences 15 (22), 11853,  2025
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HealthEQKG: A Knowledge Graph and Data Model for Health Equity Research
Navapat Nananukul, Mayank Kejriwal
International Semantic Web Conference, 183-202,  2025
2024
Modeling and Simulating Agent-Based City Migration Using Conway's Game of Life
Bruce Deng, Mayank Kejriwal
arXiv preprint arXiv:2412.20691,  2024
View Paper
Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models
Zhisheng Tang, Mayank Kejriwal
arXiv preprint arXiv:2412.15501,  2024
View Paper
The plausibility machine commonsense (PMC) dataset: A massively crowdsourced human-annotated dataset for studying plausibility in large language models
Navapat Nananukul, Ke Shen, Mayank Kejriwal
Data in Brief 57, 110869,  2024
View Paper
Can AI have common sense? Finding out will be key to achieving machine intelligence
Mayank Kejriwal, Henrique Santos, Alice M Mulvehill, Ke Shen, Deborah L McGuinness, Henry Lieberman
Nature 634 (8033), 291-294,  2024
A Study of Firm-Switching of Inventors in Big Tech Using Public Patent Data
Yidan Sun, Mayank Kejriwal
Social Network Analysis and Mining Applications in Healthcare and Anomaly …,  2024
A Q-learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-world Environments
Shafkat Islam, Min-Hsueh Chiu, Trevor Bonjour, Ruy de Oliveira, Bharat Bhargava, Mayank Kejriwal
IEEE Intelligent Systems,  2024
View Paper
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2409.10007,  2024
View Paper
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2408.01935,  2024
View Paper
PokerOWL: A Multi-Agent Poker Environment for Implementing and Evaluating Open-World Learning
Min-Hsueh Chiu, Mayank Kejriwal
2024
View Paper
An Investigation of Marxist Alienation in the Postmodern Workplace in Apple TV's Severance
Mayank Kejriwal
Reintegrating Severance: Interdisciplinary Insights on Apple TV’s Dystopian …,  2024
A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
Proceedings of the 47th International ACM SIGIR Conference on Research and …,  2024
View Paper
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning
Zhisheng Tang, Mayank Kejriwal
arXiv preprint arXiv:2407.01892,  2024
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Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions
Yongyi Ji, Zhisheng Tang, Mayank Kejriwal
arXiv preprint arXiv:2406.12216,  2024
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Advancing computational sustainability in higher education
Mayank Kejriwal, Victoria Petryshyn
Nature Computational Science, 1-2,  2024
HALO: an ontology for representing and categorizing hallucinations in large language models
Navapat Nananukul, Mayank Kejriwal
Disruptive Technologies in Information Sciences VIII 13058, 86-100,  2024
View Paper
Challenges, evaluation and opportunities for open-world learning
Mayank Kejriwal, Eric Kildebeck, Robert Steininger, Abhinav Shrivastava
Nature Machine Intelligence 6 (6), 580-588,  2024
An evaluation of estimative uncertainty in large language models
Zhisheng Tang, Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2405.15185,  2024
View Paper
Cost-efficient prompt engineering for unsupervised entity resolution
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
2024
View Paper
A noise audit of human-labeled benchmarks for machine commonsense reasoning
Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M Mulvehill, Deborah L McGuinness
Scientific Reports 14 (1), 8609,  2024
View Paper
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract)
Adin Aberbach, Mayank Kejriwal, Ke Shen
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23434 …,  2024
View Paper
Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges
Mayank Kejriwal
2024 IEEE 18th International Conference on Semantic Computing (ICSC), 253-260,  2024
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense
Henrique Santos, Ke Shen, Alice M Mulvehill, Mayank Kejriwal, Deborah L McGuinness
Data Intelligence 6 (1), 1-28,  2024
View Paper
DiscoverArtificial Intelligence
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
Discover 4, 56,  2024
Preface for the Third International Workshop on Knowledge Graph Generation from Text
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal
CEUR WORKSHOP PROCEEDINGS 3747, 1-4,  2024
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A Large Language Model-based Approach for Analyzing Covariates of Health Equity in Registered Research Projects
Navapat Nananukul, Mayank Kejriwal
medRxiv.09. 24.24314327,  2024
View Paper
Check for updates A Model and Structural Analysis of Networked Bitcoin Transaction Flows
Min-Hsueh Chiu, Mayank Kejriwal
Complex Networks & Their Applications XII: Proceedings of The Twelfth …,  2024
Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing.
Mayank Kejriwal, Akarsh Nagaraj
Journal of Data Science 22 (1),  2024
Joint proceedings of the 3rd International workshop on knowledge graph generation from text (TEXT2KG) and Data Quality meets Machine Learning and Knowledge Graphs (DQMLKG): co …
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
CEUR-WS. org,  2024
Check for updates An Analytical Approximation of Simplicial Complex Distributions in Communication Networks
Ke Shen, Mayank Kejriwal
Complex Networks & Their Applications XII: Proceedings of The Twelfth …,  2024
ISAC: An Interactive Hierarchical Interface for Efficient Structural Analysis and Vertex Search in Complex Networks
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
International Conference on Advances in Social Networks Analysis and Mining …,  2024
TEXT2KG-DQMLKG-24 (TEXT2KG 2024 and DQMLKG 2024) 3rd International workshop one knowledge graph generation from text. Data Quality meets Machine Learning and Knowledge Graphs …
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
CEUR-WS. org,  2024
2023
Understanding and Estimating Domain Complexity Across Domains
Katarina Doctor, Mayank Kejriwal, Lawrence Holder, Eric Kildebeck, Emma Resmini, Christopher Pereyda, Robert J Steininger, Daniel V Olivença
arXiv preprint arXiv:2312.13487,  2023
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Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances
Ke Shen, Mayank Kejriwal
Plos one 18 (12), e0295925,  2023
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HALO: An Ontology for Representing Hallucinations in Generative Models
Navapat Nananukul, Mayank Kejriwal
arXiv preprint arXiv:2312.05209,  2023
TG-CSR: A human-labeled dataset grounded in nine formal commonsense categories
Henrique Santos, Alice M Mulvehill, Ke Shen, Mayank Kejriwal, Deborah L McGuinness
Data in Brief 51, 109666,  2023
View Paper
An Analytical Approximation of Simplicial Complex Distributions in Communication Networks
Ke Shen, Mayank Kejriwal
International Conference on Complex Networks and Their Applications, 16-26,  2023
A Model and Structural Analysis of Networked Bitcoin Transaction Flows
Min-Hsueh Chiu, Mayank Kejriwal
International Conference on Complex Networks and Their Applications, 456-467,  2023
DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space
Yidan Sun, Mayank Kejriwal
Proceedings of the International Conference on Advances in Social Networks …,  2023
View Paper
A structural study of Big Tech firm-switching of inventors in the post-recession era
Yidan Sun, Mayank Kejriwal
Proceedings of the International Conference on Advances in Social Networks …,  2023
View Paper
Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study
Xinyu Liu, Tiancheng Sun, Diantian Fu, Zijue Li, Sheng Qian, Ruyue Meng, Mayank Kejriwal
Iberoamerican Knowledge Graphs and Semantic Web Conference, 151-167,  2023
Special Issue on Artificial Intelligence and Complex Systems
Mayank Kejriwal
Applied Sciences 13 (20), 11153,  2023
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Knowledge graph-based embedding for connecting scholars in academic social networks
Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam
2023 IEEE 10th International Conference on Data Science and Advanced …,  2023
How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?
Khanin Sisaengsuwanchai, Navapat Nananukul, Mayank Kejriwal
arXiv preprint arXiv:2310.06174,  2023
A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
arXiv preprint arXiv:2310.05258,  2023
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A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2310.03283,  2023
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Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents
Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Othmane, Meng Yu, Vijay Anand, Bharat Bhargava, Brett Robertson, Kerk Kee, Patrice Buzzanell, Natalie Bolton, Harsh Taneja
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8,  2023
View Paper
Quantifying COVID-19 policy impacts on subjective well-being during the early phase of the pandemic: A cross-sectional analysis of United States survey data from March to …
Ke Shen, Mayank Kejriwal
Plos one 18 (9), e0291494,  2023
View Paper
Substructure Discovery in Commonsense Relations Using Graph Representation Learning
Ke Shen, Mayank Kejriwal
Proceedings of SAI Intelligent Systems Conference, 714-734,  2023
Multi-agent game domain: Monopoly
T Bonjour, M Haliem, V Aggarwal, M Kejriwal, B Bhargava
A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines …,  2023
Named entity resolution in personal knowledge graphs
Mayank Kejriwal
arXiv preprint arXiv:2307.12173,  2023
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Evaluating deep generative models on cognitive tasks: A case study
Zhisheng Tang, Mayank Kejriwal
Discover Artificial Intelligence 3 (1), 21,  2023
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An experimental study measuring the generalization of fine‐tuned language representation models across commonsense reasoning benchmarks
Ke Shen, Mayank Kejriwal
Expert Systems 40 (5), e13243,  2023
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Can Language Models Be Used in Multistep Commonsense Planning Domains?
Zhisheng Tang, Mayank Kejriwal
International Conference on Artificial General Intelligence, 276-285,  2023
Context-rich evaluation of machine common sense
Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M Mulvehill, Deborah L McGuinness
International Conference on Artificial General Intelligence, 167-176,  2023
Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy
Ke Shen, Mayank Kejriwal
PLOS Global Public Health 3 (5), e0001151,  2023
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A Lightweight Global Taxonomy Induction System for E-Commerce Concept Labels
Mayank Kejriwal, Ke Shen
Cyber Security and Social Media Applications, 99-114,  2023
Can language representation models think in bets?
Zhisheng Tang, Mayank Kejriwal
Royal Society Open Science 10 (3), 221585,  2023
View Paper
Toward defining a domain complexity measure across domains
Katarina Doctor, Christine Task, Eric Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong
arXiv preprint arXiv:2303.04141,  2023
View Paper
Designing artificial intelligence for open worlds
Mayank Kejriwal
2023 Annual Meeting,  2023
Preface for the Second International Workshop on Knowledge Graph Generation from Text
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal
CEUR WORKSHOP PROCEEDINGS 3447, 1-3,  2023
Discover Artificial Intelligence
Zhisheng Tang, Mayank Kejriwal
Discover 3, 21,  2023
2022
Knowledge graphs: A practical review of the research landscape
Mayank Kejriwal
Information 13 (4), 161,  2022
View Paper
A theoretically grounded benchmark for evaluating machine commonsense
Henrique Santos, Ke Shen, Alice M Mulvehill, Yasaman Razeghi, Deborah L McGuinness, Mayank Kejriwal
arXiv preprint arXiv:2203.12184,  2022
View Paper
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?
Mayank Kejriwal, Ke Shen
arXiv preprint arXiv:2203.06491,  2022
View Paper
Transfer-based taxonomy induction over concept labels
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
Engineering Applications of Artificial Intelligence 108, 104548,  2022
Knowledge graphs: Constructing, completing, and effectively applying knowledge graphs in tourism
Mayank Kejriwal
Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies …,  2022
Preface for the International Workshop on Knowledge Graph Generation from Text
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D’Souza, Mayank Kejriwal
CEUR WORKSHOP PROCEEDINGS 3184,  2022
Artificial intelligence for industries of the future
Mayank Kejriwal
Springer Nature,  2022
On the empirical association between trade network complexity and global gross domestic product
Mayank Kejriwal, Yuesheng Luo
International Conference on Complex Networks and Their Applications, 456-466,  2022
View Paper
Understanding prior bias and choice paralysis in transformer-based language representation models through four experimental probes
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2210.01258,  2022
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A Pedagogical Framework for Understanding the Alignment Between Classroom Project Evaluations and Real-World Industry Requirements
Mayank Kejriwal
2022 ASEE Annual Conference & Exposition,  2022
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Understanding COVID-19 vaccine reaction through comparative analysis on twitter
Yuesheng Luo, Mayank Kejriwal
Science and Information Conference, 846-864,  2022
View Paper
Local taxonomy construction: An information retrieval approach using representation learning
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
Social Media Analysis for Event Detection, 133-161,  2022
Decision making in monopoly using a hybrid deep reinforcement learning approach
Trevor Bonjour, Marina Haliem, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat Bhargava
IEEE Transactions on Emerging Topics in Computational Intelligence 6 (6 …,  2022
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Measuring spatio-textual affinities in twitter between two urban metropolises
Minda Hu, Mayank Kejriwal
Journal of Computational Social Science 5 (1), 227-252,  2022
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Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets
Sara Melotte, Mayank Kejriwal
PLOS Digital Health 1 (4), e0000021,  2022
View Paper
Designing a strong test for measuring true common-sense reasoning
Mayank Kejriwal, Henrique Santos, Alice M Mulvehill, Deborah L McGuinness
Nature Machine Intelligence 4 (4), 318-322,  2022
Dataset for studying gender disparity in English literary texts
Akarsh Nagaraj, Mayank Kejriwal
Data in Brief 41, 107905,  2022
View Paper
Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended …
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Loris Bozzato, Valentina Anita Carriero, Torsten Hahmann, Antoine Zimmermann
CEUR WORKSHOP PROCEEDINGS 3184,  2022
2021
Essential features in a theory of context for enabling artificial general intelligence
Mayank Kejriwal
Applied Sciences 11 (24), 11991,  2021
View Paper
A feasibility study of open-source sentiment analysis and text classification systems on disaster-specific social media data
Mayank Kejriwal, Ge Fang, Ying Zhou
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8,  2021
Link prediction between structured geopolitical events: models and experiments
Mayank Kejriwal
Frontiers in big Data 4, 779792,  2021
View Paper
Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts
Mayank Kejriwal, Ke Shen
Proceedings of the 2021 IEEE/ACM International Conference on Advances in …,  2021
View Paper
A multi-agent simulator for generating novelty in monopoly
Mayank Kejriwal, Shilpa Thomas
Simulation Modelling Practice and Theory 112, 102364,  2021
View Paper
An evaluation and annotation methodology for product category matching in e-commerce
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
Computers in Industry 131, 103497,  2021
An empirical study of emoji usage on Twitter in linguistic and national contexts
Mayank Kejriwal, Qile Wang, Hongyu Li, Lu Wang
Online Social Networks and Media 24, 100149,  2021
View Paper
Socioeconomic correlates of anti-science attitudes in the US
Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman
Future Internet 13 (6), 160,  2021
View Paper
A geo-tagged COVID-19 Twitter dataset for 10 North American metropolitan areas over a 255-day period
Sara Melotte, Mayank Kejriwal
Data 6 (6), 64,  2021
View Paper
Reclaiming my name
Mayank Kejriwal
Science 372 (6547), 1238-1238,  2021
View Paper
Empirical best practices on using product-specific Schema. org
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15452 …,  2021
View Paper
Knowledge graphs: Fundamentals, techniques, and applications
Mayank Kejriwal, Craig A Knoblock, Pedro Szekely
MIT Press,  2021
On using centrality to understand importance of entities in the Panama Papers
Mayank Kejriwal
Plos one 16 (3), e0248573,  2021
View Paper
COVID-19 vaccine hesitancy is positively associated with affective wellbeing
Mayank Kejriwal, Ke Shen
PsyArXiv,  2021
View Paper
Unsupervised DNF blocking for efficient linking of knowledge graphs and tables
Mayank Kejriwal
Information 12 (3), 134,  2021
View Paper
Affective Correlates of Metropolitan Food Insecurity and Misery during COVID-19
Mayank Kejriwal, Ke Shen
PsyArXiv,  2021
View Paper
A meta-engine for building domain-specific search engines
Mayank Kejriwal
Software Impacts 7, 100052,  2021
View Paper
Reinforcing robustness of ai agents to open-world novelty: Challenges and roadmap
M Kejrivwal, S Thomas
Academia Letters, 2,  2021
View Paper
Visual Exploration and Debugging of Machine Learning Classification over Social Media Data
Mayank Kejriwal, Peilin Zhou
Big Data and Social Media Analytics: Trending Applications, 153-166,  2021
An experimental study measuring human annotator categorization agreement on commonsense sentences
Henrique Santos, Mayank Kejriwal, Alice M Mulvehill, Gretchen Forbush, Deborah L McGuinness, Adín Ramírez Rivera
Experimental Results 2, e19,  2021
View Paper
Learning monopoly gameplay: A hybrid model-free deep reinforcement learning and imitation learning approach
Marina Haliem, Trevor Bonjour, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat Bhargava, Mayank Kejriwal
arXiv preprint ArXiv:2103.00683,  2021
View Paper
Online Social Networks and Media
Mayank Kejriwal, Qile Wang, Hongyu Li, Lu Wang
2021
View Paper
2020
Smart Cities
Mayank Kejriwal
Handbook of Big Geospatial Data, 563-587,  2020
Knowledge graphs and COVID-19: opportunities, challenges, and implementation
Mayank Kejriwal
Harv. Data Sci. Rev 11, 300,  2020
View Paper
Structural studies of the global networks exposed in the Panama papers
Mayank Kejriwal, Akarsh Dang
Applied Network Science 5, 1-24,  2020
View Paper
On detecting urgency in short crisis messages using minimal supervision and transfer learning
Mayank Kejriwal, Peilin Zhou
Social Network Analysis and Mining 10 (1), 58,  2020
View Paper
Knowledge, semantics and AI for risk and crisis management
Antonio De Nicola, Hedi Karray, Mayank Kejriwal, Nada Matta
Journal of Contingencies and Crisis Management 28 (3), 174-177,  2020
An experimental study of the effects of position bias on emotion causeextraction
Jiayuan Ding, Mayank Kejriwal
arXiv preprint arXiv:2007.15066,  2020
View Paper
On using Product-Specific Schema. org from Web Data Commons: An Empirical Set of Best Practices
Ravi Kiran Selvam, Mayank Kejriwal
arXiv e-prints, arXiv: 2007.13829,  2020
Network-theoretic modeling of complex activity using UK online sex advertisements
Mayank Kejriwal, Yao Gu
Applied Network Science 5 (1), 30,  2020
View Paper
Domain-specific search engines for investigating human trafficking and other illicit activities
Mayank Kejriwal
Encyclopedia of Criminal Activities and the Deep Web, 478-496,  2020
2019
Network-theoretic information extraction quality assessment in the human trafficking domain
Mayank Kejriwal, Rahul Kapoor
Applied Network Science 4 (1), 1-26,  2019
View Paper
Knowledge graphs: Construction, management and querying
Mayank Kejriwal, Juan Sequeda, Vanessa Lopez
Semantic Web 10 (6), 961-962,  2019
View Paper
Concept drift in bias and sensationalism detection: an experimental study
Shuo Zhang, Mayank Kejriwal
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …,  2019
SAVIZ: Interactive exploration and visualization of situation labeling classifiers over crisis social media data
Mayank Kejriwal, Peilin Zhou
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …,  2019
Low-supervision urgency detection and transfer in short crisis messages
Mayank Kejriwal, Peilin Zhou
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …,  2019
View Paper
Expert-guided entity extraction using expressive rules
Mayank Kejriwal, Runqi Shao, Pedro Szekely
Proceedings of the 42nd international ACM SIGIR conference on research and …,  2019
View Paper
A pipeline for rapid post-crisis twitter data acquisition, filtering and visualization
Mayank Kejriwal, Yao Gu
Technologies 7 (2), 33,  2019
View Paper
Domain-specific knowledge graph construction
Mayank Kejriwal
Springer International Publishing,  2019
myDIG: Personalized illicit domain-specific knowledge discovery with no programming
Mayank Kejriwal, Pedro Szekely
Future Internet 11 (3), 59,  2019
View Paper
Co-LOD: Continuous Space Linked Open Data.
Mayank Kejriwal, Pedro A Szekely
ISWC (Satellites), 333-337,  2019
View Paper
Unsupervised Product Entity Resolution using Graph Representation Learning.
Mozhdeh Gheini, Mayank Kejriwal
eCOM@ SIGIR,  2019
View Paper
Querying knowledge graphs with extended property paths.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Valeria Fionda, Giuseppe Pirrò, Mariano P Consens
Semantic Web (1570-0844) 10 (6),  2019
Extracting entity-specific substructures for RDF graph embeddings.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K Prasanna
Semantic Web (1570-0844) 10 (6),  2019
Similarity-based knowledge graph queries for recommendation retrieval.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Lisa Wenige, Johannes Ruhland
Semantic Web (1570-0844) 10 (6),  2019
Building relatedness explanations from knowledge graphs.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Giuseppe Pirrò
Semantic Web (1570-0844) 10 (6),  2019
View Paper
FarsBase: The Persian knowledge graph.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Majid Asgari-Bidhendi, Ali Hadian, Behrouz Minaei-Bidgoli
Semantic Web (1570-0844) 10 (6),  2019
Rule-driven inconsistency resolution for knowledge graph generation rules.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Pieter Heyvaert, Ben De Meester, Anastasia Dimou, Ruben Verborgh
Semantic Web (1570-0844) 10 (6),  2019
Wan2vec: Embeddings learned on word association norms.
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Gemma Bel-Enguix, Helena Gómez-Adorno, Jorge Reyes-Magaña, Gerardo Sierra
Semantic Web (1570-0844) 10 (6),  2019
Domain-Specific Insight Graphs
Pedro Szekely, Mayank Kejriwal
2019
What is a knowledge graph?
Mayank Kejriwal
Domain-Specific Knowledge Graph Construction, 1-7,  2019
2018
Always lurking: Understanding and mitigating bias in online human trafficking detection
Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 137-143,  2018
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GAIA-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A Szekely, TK Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E Rodríguez, Daisy Zhe Wang
TAC,  2018
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How do organizations publish semantic markup? Three case studies using public Schema. org Crawls
Daye Nam, Mayank Kejriwal
Computer 51 (6), 42-51,  2018
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Investigative knowledge discovery for combating illicit activities
Mayank Kejriwal, Pedro Szekely, Craig Knoblock
IEEE Intelligent Systems 33 (1), 53-63,  2018
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Constructing domain-specific search engines with no programming
Mayank Kejriwal, Pedro Szekely
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1),  2018
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BigNet 2018 Chairs' Welcome & Organization
Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger
Companion Proceedings of the The Web Conference 2018, 943-944,  2018
Thor: Text-enabled analytics for humanitarian operations
Mayank Kejriwal, Daniel Gilley, Pedro Szekely, Jill Crisman
Companion Proceedings of the The Web Conference 2018, 147-150,  2018
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Domain-specific insight graphs (DIG)
Pedro Szekely, Mayank Kejriwal
Companion Proceedings of the The Web Conference 2018, 433-434,  2018
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Technology-assisted investigative search: A case study from an illicit domain
Mayank Kejriwal, Pedro Szekely
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …,  2018
Structured event entity resolution in humanitarian domains
Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro Szekely
The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …,  2018
P4ML: A phased performance-based pipeline planner for automated machine learning
Yolanda Gil, Ke-Thia Yao, Varun Ratnakar, Daniel Garijo, Greg Ver Steeg, Pedro Szekely, Rob Brekelmans, Mayank Kejriwal, Fanghao Luo, I-Hui Huang
AutoML Workshop at ICML 24,  2018
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2017
Flagit: A system for minimally supervised human trafficking indicator mining
Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro Szekely
arXiv preprint arXiv:1712.03086,  2017
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Semi-automatic Data Integration using Karma
D Garijo, M Kejriwal, SA Pierce, PIQ Houser, SD Peckham, Z Stanko, D Hardesty Lewis, Y Gil, DD Pennington, C Knoblock
AGU Fall Meeting Abstracts 2017, IN13A-0053,  2017
Knowledge graphs for social good: An entity-centric search engine for the human trafficking domain
Mayank Kejriwal, Pedro Szekely
IEEE Transactions on Big Data 8 (3), 592-606,  2017
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Constructing domain-specific knowledge graphs
Mayank Kejriwal, Craig Knoblock, Pedro Szekely
Proceedings of the 16th International Semantic Web Conference (ISWC2017 …,  2017
Populating a linked data entity name system
Mayank Kejriwal
AI Matters 3 (2), 22-23,  2017
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Predicting role relevance with minimal domain expertise in a financial domain
Mayank Kejriwal
Proceedings of the 3rd International Workshop on Data Science for Macro …,  2017
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Using contexts and constraints for improved geotagging of human trafficking webpages
Rahul Kapoor, Mayank Kejriwal, Pedro Szekely
Proceedings of the fourth international ACM workshop on managing and mining …,  2017
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Information extraction in illicit web domains
Mayank Kejriwal, Pedro Szekely
Proceedings of the 26th international conference on world wide web, 997-1006,  2017
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An investigative search engine for the human trafficking domain
Mayank Kejriwal, Pedro Szekely
The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …,  2017
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Neural embeddings for populated geonames locations
Mayank Kejriwal, Pedro Szekely
The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …,  2017
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Scalable generation of type embeddings using the ABox
Mayank Kejriwal, Pedro Szekely
Open Journal of Semantic Web (OJSW) 4 (1), 20-34,  2017
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Semi-automatic Data Integration using Karma
Mayank Kejriwal, Suzanne A Pierce, Perry Ivan Quinto Houser, Scott Dale Peckham, Zachary Stanko, Daniel Hardesty Lewis, Yolanda Gil, Deana D Pennington, Craig Knoblock, Daniel Garijo
2017 AGU Fall Meeting,  2017
2016
Populating a linked data entity name system: A big data solution to unsupervised instance matching
Mayank Kejriwal
IOS Press,  2016
An ensemble blocking scheme for entity resolution of large and sparse datasets
Janani Balaji, Faizan Javed, Mayank Kejriwal, Chris Min, Sam Sander, Ozgur Ozturk
arXiv preprint arXiv:1609.06265,  2016
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Local, domain-independent heuristics for the FEIII challenge: Lessons and observations
Mayank Kejriwal, Daniel P Miranker
Proceedings of the Second International Workshop on Data Science for Macro …,  2016
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs
Mayank Kejriwal
arXiv preprint arXiv:1605.00686,  2016
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2015
An unsupervised instance matcher for schema-free RDF data
Mayank Kejriwal, Daniel P Miranker
Journal of Web Semantics 35, 102-123,  2015
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A pipeline for extracting and deduplicating domain-specific knowledge bases
Mayank Kejriwal, Qiaoling Liu, Ferosh Jacob, Faizan Javed
2015 IEEE International Conference on Big Data (Big Data), 1144-1153,  2015
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Sorted neighborhood for schema-free RDF data
Mayank Kejriwal, Daniel P Miranker
European Semantic Web Conference, 217-229,  2015
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Sorted neighborhood for the semantic web
Mayank Kejriwal
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1),  2015
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Entity resolution in a big data framework
Mayank Kejriwal
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1),  2015
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On the complexity of sorted neighborhood
Mayank Kejriwal, Daniel P Miranker
arXiv preprint arXiv:1501.01696,  2015
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Decision-making bias in instance matching model selection
Mayank Kejriwal, Daniel P Miranker
The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …,  2015
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Minimally supervised instance matching: An alternate approach
Mayank Kejriwal, Daniel P Miranker
The Semantic Web: ESWC 2015 Satellite Events: ESWC 2015 Satellite Events …,  2015
Semi-supervised instance matching using boosted classifiers
Mayank Kejriwal, Daniel P Miranker
The Semantic Web. Latest Advances and New Domains: 12th European Semantic …,  2015
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2014
Schema matching over relations, attributes, and data values
Aibo Tian, Mayank Kejriwal, Daniel P Miranker
Proceedings of the 26th International Conference on Scientific and …,  2014
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A two-step blocking scheme learner for scalable link discovery
Mayank Kejriwal, Daniel P Miranker
ISWC OM Workshop,  2014
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2013
An unsupervised algorithm for learning blocking schemes
Mayank Kejriwal, Daniel P Miranker
2013 IEEE 13th International Conference on Data Mining, 340-349,  2013
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Extended scaled neural predictor for improved branch prediction
Zihao Zhou, Mayank Kejriwal, Risto Miikkulainen
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7,  2013
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2012
Digitization and search: A non-traditional use of HPC
Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry
2012 IEEE 8th International Conference on E-Science, 1-6,  2012
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A framework to access handwritten information within large digitized paper collections
Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry
2012 IEEE 8th International Conference on E-Science, 1-10,  2012
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