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Workshop
Multiscale Neural Operators for Solving Time-Independent PDEs
Winfried Ripken · Lisa Coiffard · Felix Pieper · Sebastian Dziadzio
Workshop
Low-Width Approximations and Sparsification for Scaling Graph Transformers
Hamed Shirzad · Balaji Venkatachalam · Ameya Velingker · Danica J. Sutherland · David Woodruff
Workshop
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jianfei Gao · Yangze Zhou · Jincheng Zhou · Bruno Ribeiro
Workshop
Sat 9:30 Learning on graphs with Gromov-Wasserstein: from unsupervised learning to GNN (Rémi Flamary)
Poster
Tue 15:15 Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Dingmin Wang · Yeyuan Chen
Poster
Thu 8:45 GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
Xin Zheng · Miao Zhang · Chunyang Chen · Soheila Molaei · Chuan Zhou · Shirui Pan
Poster
Thu 8:45 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo · Hong Huang · Jianxun Lian · Xiran Song · Xing Xie · Hai Jin
Poster
Thu 8:45 SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
Ziyuan Ye · Rihan Huang · Qilin Wu · Quanying Liu
Poster
Wed 15:00 Graph of Circuits with GNN for Exploring the Optimal Design Space
Aditya Shahane · Saripilli Swapna Manjiri · Ankesh Jain · Sandeep Kumar
Poster
Thu 15:00 Expressivity-Preserving GNN Simulation
Fabian Jogl · Maximilian Thiessen · Thomas Gärtner
Workshop
On the Consistency of GNN Explainability Methods
Ehsan Hajiramezanali · Sepideh Maleki · Alex Tseng · Aicha BenTaieb · Gabriele Scalia · Tommaso Biancalani
Workshop
Protein Inpainting Co-Design with ProtFill
Elizaveta Kozlova · Arthur Valentin · Daniel Nakhaee-Zadeh Gutierrez