firstbacksecondback
307 Results
|
Poster
|
Tue 2:30 |
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang · Qihui Yang · Dawei Zhou · Yujun Yan |
|
|
Poster
|
Thu 2:30 |
On the Generalization of Equivariant Graph Neural Networks Rafał Karczewski · Amauri Souza · Vikas Garg |
|
|
Workshop
|
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger · Federico Barbero · Xiaowen Dong · Michael Bronstein |
||
|
Poster
|
Tue 4:30 |
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks Shervin Khalafi · Saurabh Sihag · Alejandro Ribeiro |
|
|
Workshop
|
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford GNNs Cong Liu · David Ruhe · Patrick Forré |
||
|
Poster
|
Tue 2:30 |
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction yang zhang · Zhewei Wei · Ye Yuan · Chongxuan Li · Wenbing Huang |
|
|
Oral
|
Tue 1:45 |
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction yang zhang · Zhewei Wei · Ye Yuan · Chongxuan Li · Wenbing Huang |
|
|
Workshop
|
Learning Graph Neural Networks from Biased Outcome Data Sidhika Balachandar · Shuvom Sadhuka · Bonnie Berger · Emma Pierson · Nikhil Garg |
||
|
Workshop
|
A data-centric approach for assessing progress of Graph Neural Networks Tianqi Zhao · Thi Ngan Dong · Alan Hanjalic · Megha Khosla |
||
|
Poster
|
Tue 2:30 |
The Merit of River Network Topology for Neural Flood Forecasting Nikolas Kirschstein · Yixuan Sun |
|
|
Poster
|
Thu 2:30 |
Graph Neural Networks Use Graphs When They Shouldn't Maya Bechler-Speicher · Ido Amos · Ran Gilad-Bachrach · Amir Globerson |
|
|
Poster
|
Thu 4:30 |
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet Zeyang Zhang · Xin Wang · Yijian Qin · Hong Chen · Ziwei Zhang · Xu Chu · Wenwu Zhu |