On Graph and Knowledge Embedding

Friday, February 9, 2018, 11:00 am - 12:00 pm PDTiCal
11th floor conference room
This event is open to the public.
AI Seminar
Shoude Lin, National Taiwan University
Video Recording:

The task of graph embedding aims at representing graph nodes in vector space to facilitate advanced analysis such as classification or knowledge discovery; while in knowledge embedding people are trying to encode the knowledge graph information (i.e. entities and relations) into vector spaces. Despite that these two types of embedding tasks seem to be highly correlated, an almost disjoint set of solutions have been proposed to tackle them. Thanks to the advance of deep neural network, a unified framework for these tasks seem to be plausible. This talk will provide a survey on the existing models for each of the embedding task and introduce our recent progress in this direction. 


Shou-de Lin is currently a full professor in the CSIE department of National Taiwan University. He holds a BS degree in EE department from National Taiwan University, an MS-EE degree from the University of Michigan, an MS degree in Computational Linguistics and PhD in Computer Science both from the University of Southern California. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow at the Los Alamos National Lab. Prof. Lin's research includes the areas of machine learning and data mining, social network analysis, and natural language processing. His international recognition includes the best paper award in IEEE Web Intelligent conference 2003, Google Research Award in 2007, Microsoft research award in 2008, 2015, 2016, merit paper award in TAAI 2010, 2014, 2016, best paper award in ASONAM 2011, US Aerospace AFOSR/AOARD research award winner for 5 years. He is the all-time winners in ACM KDD Cup, leading or co-leading the NTU team to win 5 championships. He also led a team to win WSDM Cup 2016. He organized PAKDD Cup 2014, KDD Cup 2016, and WSDM Cup 2018, and served as the senior PC for SIGKDD and area chair for ACL. 

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