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Poster
Tue 10:30 Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick
Poster
Tue 2:30 Top-N: Equivariant Set and Graph Generation without Exchangeability
Clément Vignac · Pascal Frossard
Poster
Tue 10:30 Granger causal inference on DAGs identifies genomic loci regulating transcription
Alexander Wu · Rohit Singh · Bonnie Berger
Poster
Wed 10:30 Space-Time Graph Neural Networks
Samar Hadou · Charilaos Kanatsoulis · Alejandro Ribeiro
Oral
Tue 1:00 Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts · Juan L. Reutter
Oral
Tue 1:30 Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo · Veronika Thost · Beichen Li · Payel Das · Jie Chen · Wojciech Matusik
Poster
Mon 10:30 Spherical Message Passing for 3D Molecular Graphs
Yi Liu · Limei Wang · Meng Liu · Yuchao Lin · Xuan Zhang · Bora Oztekin · Shuiwang Ji
Poster
Thu 10:30 CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
Pardis Pashakhanloo · Aaditya Naik · Yuepeng Wang · Hanjun Dai · Petros Maniatis · Mayur Naik
Poster
Tue 2:30 A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe · Qing Wang
Poster
Tue 2:30 Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor · Corentin Tallec · Mohammad Gheshlaghi Azar · Mehdi Azabou · Eva Dyer · Remi Munos · Petar Veličković · Michal Valko
Poster
Mon 18:30 Automated Self-Supervised Learning for Graphs
Wei Jin · Xiaorui Liu · Xiangyu Zhao · Yao Ma · Neil Shah · Jiliang Tang
Oral
Tue 1:45 A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe · Qing Wang