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41 Results
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Oral
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Mon 13:30 |
How Powerful are Graph Neural Networks? Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka |
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Poster
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Tue 9:00 |
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng · Qiang Qiu · Robert Calderbank · Guillermo Sapiro |
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Poster
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Tue 9:00 |
Learning a SAT Solver from Single-Bit Supervision Daniel Selsam · Matthew Lamm · Benedikt B\"{u}nz · Percy Liang · Leonardo Moura · David L Dill |
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Poster
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Tue 14:30 |
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner · Stephan Günnemann |
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Poster
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Tue 9:00 |
STCN: Stochastic Temporal Convolutional Networks Emre Aksan · Otmar Hilliges |
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Poster
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Tue 14:30 |
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Gasteiger · Aleksandar Bojchevski · Stephan Günnemann |
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Poster
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Tue 9:00 |
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso · Carl Edward Rasmussen · Laurence Aitchison |
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Poster
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Tue 14:30 |
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension Rajarshi Das · Tsendsuren Munkhdalai · Eric Yuan · Adam Trischler · Andrew McCallum |
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Poster
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Thu 9:00 |
Trellis Networks for Sequence Modeling Shaojie Bai · Zico Kolter · Vladlen Koltun |
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Poster
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Tue 14:30 |
Large Scale Graph Learning From Smooth Signals Vassilis Kalofolias · Nathanaël Perraudin |
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Poster
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Tue 9:00 |
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution Diego Valsesia · Giulia Fracastoro · Enrico Magli |
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Poster
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Thu 9:00 |
DOM-Q-NET: Grounded RL on Structured Language Sheng Jia · Jamie Kiros · Jimmy Ba |