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Oral
Thu Jun 13 08:00 AM -- 08:20 AM (KST) @ Room 102
Position-aware Graph Neural Networks
In Networks and Relational Learning
Jiaxuan You · Rex (Zhitao) Ying · Jure Leskovec
[ Video] 
Oral
Thu Jun 13 08:20 AM -- 08:25 AM (KST) @ Room 102
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm
In Networks and Relational Learning
Kejun Huang · Xiao Fu
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:25 AM -- 08:30 AM (KST) @ Room 102
Learning Generative Models across Incomparable Spaces
In Networks and Relational Learning
Charlotte Bunne · David Alvarez-Melis · Andreas Krause · Stefanie Jegelka
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:30 AM -- 08:35 AM (KST) @ Room 102
Relational Pooling for Graph Representations
In Networks and Relational Learning
Ryan Murphy · Balasubramaniam Srinivasan · Vinayak A Rao · Bruno Ribeiro
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:35 AM -- 08:40 AM (KST) @ Room 102
Disentangled Graph Convolutional Networks
In Networks and Relational Learning
Jianxin Ma · Peng Cui · Kun Kuang · Xin Wang · Wenwu Zhu
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:40 AM -- 09:00 AM (KST) @ Room 102
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
In Networks and Relational Learning
Milan Cvitkovic · Badal Singh · Anima Anandkumar
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:00 AM -- 09:05 AM (KST) @ Room 102
Learning Discrete Structures for Graph Neural Networks
In Networks and Relational Learning
Luca Franceschi · Mathias Niepert · Massimiliano Pontil · Xiao He
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:05 AM -- 09:10 AM (KST) @ Room 102
Compositional Fairness Constraints for Graph Embeddings
In Networks and Relational Learning
Avishek Bose · William Hamilton
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:10 AM -- 09:15 AM (KST) @ Room 102
A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
In Networks and Relational Learning
Sylvain Lamprier
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:15 AM -- 09:20 AM (KST) @ Room 102
Stochastic Blockmodels meet Graph Neural Networks
In Networks and Relational Learning
Nikhil Mehta · Lawrence Carin · Piyush Rai
[ Slides]  [ Video]