firstbacksecondback
165 Results
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 |