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Workshop
Learning the galaxy-environment connection with graph neural networks
John F. Wu · Christian Jespersen
Poster
Thu 13:30 Generative Graph Dictionary Learning
Zhichen Zeng · Ruike Zhu · Yinglong Xia · Hanqing Zeng · Hanghang Tong
Workshop
GraphChef: Learning the Recipe of Your Dataset
Peter Müller · Lukas Faber · Karolis Martinkus · Roger Wattenhofer
Poster
Thu 16:30 Boosting Graph Contrastive Learning via Graph Contrastive Saliency
Chunyu Wei · Yu Wang · Bing Bai · Kai Ni · David Brady · LU FANG
Workshop
GraphChef: Learning the Recipe of Your Dataset
Peter Müller · Lukas Faber · Karolis Martinkus · Roger Wattenhofer
Poster
Thu 13:30 Quantum 3D Graph Learning with Applications to Molecule Embedding
Ge Yan · Huaijin Wu · Junchi Yan
Poster
Tue 17:00 TIDE: Time Derivative Diffusion for Deep Learning on Graphs
Maysam Behmanesh · Maximilian Krahn · Maks Ovsjanikov
Workshop
Fri 14:10 Explaining Graph Neural Networks Using Interpretable Local Surrogates
Farzaneh Heidari · Guillaume Rabusseau · Perouz Taslakian
Workshop
Fri 19:00 Mixed-Curvature Transformers for Graph Representation Learning
Sungjun Cho · Seunghyuk Cho · Sungwoo Park · Hankook Lee · Honglak Lee · Moontae Lee
Poster
Tue 17:00 Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini · Andrea Cristofari · Francesco Rinaldi · Francesco Tudisco
Workshop
Scaling Graphically Structured Diffusion Models
Christian Weilbach · William Harvey · Hamed Shirzad · Frank Wood
Poster
Tue 17:00 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu · Xueyuan Chen · Bowen Shi · Shangzhe Li · Ke Xu