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Workshop
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Sat 2:40
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A mechanistically interpretable neural-network architecture for discovery of regulatory genomics
Alex M Tseng · Gökcen Eraslan · Nathaniel Diamant · Tommaso Biancalani · Gabriele Scalia
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Workshop
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Sat 6:55
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A mechanistically interpretable neural-network architecture for discovery of regulatory genomics
Alex M Tseng
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Affinity Workshop
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Tue 1:45
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GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Lisa Schneckenreiter
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Poster
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Wed 1:45
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Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng · Zichao Yue · Zhiru Zhang
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Poster
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Fri 1:45
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Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Florian Frantzen · Michael Schaub
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Workshop
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Learning Self-Supervised Dynamic Networks for Seizure Analysis
William Cappelletti · Yuhan Xie · Pascal Frossard
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Poster
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Wed 7:30
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Robust Angular Synchronization via Directed Graph Neural Networks
Yixuan He · Gesine Reinert · David Wipf · Mihai Cucuringu
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Poster
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Tue 1:45
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Mitigating Emergent Robustness Degradation while Scaling Graph Learning
Xiangchi Yuan · Chunhui Zhang · Yijun Tian · Yanfang Ye · Chuxu Zhang
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Poster
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Wed 1:45
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Hypergraph Dynamic System
Jielong Yan · Yifan Feng · Shihui Ying · Yue Gao
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Poster
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Tue 1:45
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Rethinking and Extending the Probabilistic Inference Capacity of GNNs
Tuo Xu · Lei Zou
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Workshop
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How Can Graph Neural Networks Learn to Perform Latent Representation Inference?
Hongyi Guo · Zhaoran Wang
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Workshop
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ON THE SCALABILITY OF GNNS FOR MOLECULAR GRAPHS
Maciej Sypetkowski · Frederik Wenkel · Farimah Poursafaei · Nia Dickson · Karush Suri · Philip Fradkin · Dominique Beaini
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