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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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A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun · Zhenmei Shi · Yixuan Li
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Workshop
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Graph-based Neural Weather Prediction for Limited Area Modeling
Joel Oskarsson · Tomas Landelius · Fredrik Lindsten
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Poster
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Tue 8:45
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Demystifying Oversmoothing in Attention-Based Graph Neural Networks
Xinyi Wu · Amir Ajorlou · Zihui Wu · Ali Jadbabaie
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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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GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
Xiao Zang · Miao Yin · Jinqi Xiao · Saman Zonouz · Bo Yuan
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Workshop
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MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification
Xiao Yue · Bo Liu · Andrew Meng · Guangzhi Qu
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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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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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Poster
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Thu 8:45
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Certifiably Robust Graph Contrastive Learning
Minhua Lin · Teng Xiao · Enyan Dai · Xiang Zhang · Suhang Wang
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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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