Workshop

Universality of Neural Networks on Sets and Graphs
Fabian Fuchs · Petar Veličković

Poster

Mon 2:30

Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters

Poster

Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen

Poster

Wed 2:30

Strategic Classification with Graph Neural Networks
Itay Eilat · Ben Finkelshtein · Chaim Baskin · Nir Rosenfeld

Poster

Wed 7:30

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber · Rishab Goel · Daniel Zheng · Hugo Larochelle · Daniel Tarlow

Poster

On Representing Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin

Poster

Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin

Poster

Wed 7:30

Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd

Oral

Wed 7:00

Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd

Workshop

Fri 4:45

An Exploration of Conditioning Methods in Graph Neural Networks
Yeskendir Koishekenov · Erik Bekkers

Poster

Tue 7:30

Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo · Chuan Shi · Lele Wang · Renjie Liao

Poster

Tue 2:30

Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang · Shengjie Luo · Liwei Wang · Di He