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469 Results
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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu |
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Poster
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Wed 11:00 |
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker · Chester Tan · Ingo Scholtes |
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Poster
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Fri 11:00 |
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos · Giorgos Bouritsas · Yannis Panagakis |
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Poster
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Thu 11:00 |
Dissecting the Failure of Invariant Learning on Graphs Qixun Wang · Yifei Wang · Yisen Wang · Xianghua Ying |
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Poster
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Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang · Zhaopeng Peng · Zihui Wang · Jianzhong Qi · Chaochao Chen · Weike Pan · Chenglu Wen · Cheng Wang · Xiaoliang Fan |
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Poster
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Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev · Mikhail Mironov · Liudmila Prokhorenkova |
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability William Hofgard |
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Poster
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Wed 11:00 |
What do Graph Neural Networks learn? Insights from Tropical Geometry Tuan Anh Pham · Vikas Garg |
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Poster
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Thu 11:00 |
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof · Beatrice Bevilacqua · Carola-Bibiane Schönlieb · Haggai Maron |
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Poster
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Fri 11:00 |
The Intelligible and Effective Graph Neural Additive Network Maya Bechler-Speicher · Amir Globerson · Ran Gilad-Bachrach |
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Poster
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Wed 16:30 |
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks Xuyuan Liu · Yinghao Cai · Qihui Yang · Yujun Yan |
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Workshop
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Simultaneous Discovery of Reaction Coordinates and Committor Functions Using Equivariant Graph Neural Networks Killian Sheriff · Rodrigo Freitas · Amalie Trewartha · Steven Torrisi |