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Workshop
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Graph Neural Networks for Selection of Preconditioners and Krylov Solvers
Ziyuan Tang · Hong Zhang · Jie Chen
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Poster
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Thu 9:00
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Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen · Zehao Xiao · Xiantong Zhen · Cees Snoek · Marcel Worring
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Workshop
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SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee · Dohoon Lee · Yinhua Piao · Sun Kim
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Poster
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Thu 14:00
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NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
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Poster
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Tue 9:00
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Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin · Zishun Yu · Xinhua Zhang
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Poster
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Thu 9:00
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Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya · Cameron Musco
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Poster
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Tue 9:00
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SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli · Pietro Lió · Fabio Vandin
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Poster
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Thu 9:00
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High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua · Guillaume Rabusseau · Jian Tang
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Poster
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Wed 9:00
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Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa · Koki Noda · Yuya Sasaki · makoto onizuka
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Workshop
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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
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Workshop
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Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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