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Poster
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Tue 15:15
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Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Dingmin Wang · Yeyuan Chen
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Poster
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Thu 15:00
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The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi · Veronica Lachi
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Poster
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Thu 15:00
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Expressivity-Preserving GNN Simulation
Fabian Jogl · Maximilian Thiessen · Thomas Gärtner
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Poster
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Wed 15:00
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A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun · Zhenmei Shi · Yixuan Li
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Poster
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Thu 8:45
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A new perspective on building efficient and expressive 3D equivariant graph neural networks
weitao Du · Yuanqi Du · Limei Wang · Dieqiao Feng · Guifeng Wang · Shuiwang Ji · Carla Gomes · Zhi-Ming Ma
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Poster
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Tue 8:45
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Large sample spectral analysis of graph-based multi-manifold clustering
Nicolas Garcia Trillos · Pengfei He · Chenghui Li
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Poster
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Wed 15:00
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Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim · Joshua Robinson · Stefanie Jegelka · Haggai Maron
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Workshop
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Its All Graph To Me: Single-Model Graph Representation Learning on Multiple Domains
Alex O. Davies · Riku Green · Nirav Ajmeri · Telmo Silva Filho
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Workshop
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Size Matters: Large Graph Generation with HiGGs
Alex O. Davies · Nirav Ajmeri · Telmo Silva Filho
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Poster
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Wed 15:00
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SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu · Wentao Zhao · Chenxiao Yang · Hengrui Zhang · Fan Nie · Haitian Jiang · Yatao Bian · Junchi Yan
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Poster
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Thu 8:45
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Directional diffusion models for graph representation learning
Run Yang · Yuling Yang · Fan Zhou · Qiang Sun
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Workshop
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Sat 9:00
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Yulia Rubanova - Learning efficient and scalable simulation using graph networks.
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