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22 Results
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Poster
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Wed 15:00 |
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang · Xin Wang · Ziwei Zhang · Zhou Qin · Weigao Wen · Hui Xue' · Haoyang Li · Wenwu Zhu |
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Workshop
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DspGNN: Bringing Spectral Design to Discrete Time Dynamic Graph Neural Networks for Edge Regression Leshanshui Yang · Clement Chatelain · Sébastien Adam |
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Poster
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Tue 15:15 |
Graph Contrastive Learning with Stable and Scalable Spectral Encoding Deyu Bo · Yuan Fang · Yang Liu · Chuan Shi |
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Poster
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Tue 15:15 |
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding George Ma · Yifei Wang · Yisen Wang |
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Poster
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Thu 8:45 |
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao · Haobo Wang · Ying Jin · Lei Feng · Gang Chen · Fei Huang · Junbo Zhao |
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Poster
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Thu 15:00 |
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models Lee Gunderson · Gecia Bravo-Hermsdorff · Peter Orbanz |
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Poster
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Wed 15:00 |
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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How does over-squashing affect the power of GNNs? Francesco Di Giovanni · T. Konstantin Rusch · Michael Bronstein · Andreea-Ioana Deac · Marc Lackenby · Siddhartha Mishra · Petar Veličković |
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Poster
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Tue 8:45 |
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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Thu 8:45 |
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion Hyuna Cho · Minjae Jeong · Sooyeon Jeon · Sungsoo Ahn · Won Hwa Kim |