Poster

Thu 9:00

Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen · Zehao Xiao · Xiantong Zhen · Cees Snoek · Marcel Worring

Workshop

Graph Neural Networks for Selection of Preconditioners and Krylov Solvers
Ziyuan Tang · Hong Zhang · Jie Chen

Workshop

SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee · Dohoon Lee · Yinhua Piao · Sun Kim

Poster

Thu 14:00

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan

Poster

Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu

Poster

Tue 9:00

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin · Zishun Yu · Xinhua Zhang

Poster

Thu 9:00

Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya · Cameron Musco

Poster

Thu 9:00

High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua · Guillaume Rabusseau · Jian Tang

Poster

Tue 9:00

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli · Pietro Lió · Fabio Vandin

Poster

Wed 9:00

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa · Koki Noda · Yuya Sasaki · makoto onizuka

Workshop

A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Claudia Vanea · Jonathan Campbell · Omri Dodi · Liis Salumäe · Karen Meir · Drorith Hochner · Hagit Hochner · Triin Laisk · Linda Ernst · Cecilia Lindgren · Christoffer Nellaker

Workshop

Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió

Results