firstbacksecondback
239 Results
Workshop
|
Revisiting Robustness in Graph Machine Learning Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann |
||
Workshop
|
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning Austin Atsango · Nathaniel Diamant · Ziqing Lu · Tommaso Biancalani · Gabriele Scalia · Kangway Chuang |
||
Poster
|
Thu 9:00 |
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline |
|
Poster
|
Tue 14:00 |
Asymptotics of ℓ2 Regularized Network Embeddings Andrew Davison |
|
Poster
|
Decoupled Self-supervised Learning for Graphs Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang |
||
Workshop
|
Learning Feynman Diagrams using Graph Neural Networks Alexander Norcliffe · Harrison Mitchell · Pietro Lió |
||
Poster
|
Thu 9:00 |
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum |
|
Poster
|
Wed 14:00 |
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris · Thomas D Barrett · Arnu Pretorius |
|
Poster
|
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang |
||
Workshop
|
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren · Yifu Yuan · Yuxin Wu · Xiaxuan Gao · Yewen Wang · Yizhou Sun |
||
Poster
|
Tue 9:00 |
Graph Few-shot Learning with Task-specific Structures Song Wang · Chen Chen · Jundong Li |
|
Workshop
|
Structured Q-learning For Antibody Design Alexander Cowen-Rivers · Philip John Gorinski · aivar sootla · Asif Khan · Jun WANG · Jan Peters · Haitham Bou Ammar |