|
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
|
|
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin
|
|
|
Poster
|
|
On Representing Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
|
|
|
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
|
|
