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Oral
Wed Jun 12 04:00 PM -- 04:20 PM (PDT) @ Room 102
Position-aware Graph Neural Networks
Jiaxuan You · Rex (Zhitao) Ying · Jure Leskovec
[ Video
Oral
Wed Jun 12 04:20 PM -- 04:25 PM (PDT) @ Room 102
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm
Kejun Huang · Xiao Fu
[ Slides [ Video
Oral
Wed Jun 12 04:25 PM -- 04:30 PM (PDT) @ Room 102
Learning Generative Models across Incomparable Spaces
Charlotte Bunne · David Alvarez-Melis · Andreas Krause · Stefanie Jegelka
[ Slides [ Video
Oral
Wed Jun 12 04:30 PM -- 04:35 PM (PDT) @ Room 102
Relational Pooling for Graph Representations
Ryan Murphy · Balasubramaniam Srinivasan · Vinayak A Rao · Bruno Ribeiro
[ Slides [ Video
Oral
Wed Jun 12 04:35 PM -- 04:40 PM (PDT) @ Room 102
Disentangled Graph Convolutional Networks
Jianxin Ma · Peng Cui · Kun Kuang · Xin Wang · Wenwu Zhu
[ Slides [ Video
Oral
Wed Jun 12 04:40 PM -- 05:00 PM (PDT) @ Room 102
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic · Badal Singh · Anima Anandkumar
[ Slides [ Video
Oral
Wed Jun 12 05:00 PM -- 05:05 PM (PDT) @ Room 102
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi · Mathias Niepert · Massimiliano Pontil · Xiao He
[ Slides [ Video
Oral
Wed Jun 12 05:05 PM -- 05:10 PM (PDT) @ Room 102
Compositional Fairness Constraints for Graph Embeddings
Avishek Bose · William Hamilton
[ Slides [ Video
Oral
Wed Jun 12 05:10 PM -- 05:15 PM (PDT) @ Room 102
A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
Sylvain Lamprier
[ Slides [ Video
Oral
Wed Jun 12 05:15 PM -- 05:20 PM (PDT) @ Room 102
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta · Lawrence Carin · Piyush Rai
[ Slides [ Video