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Poster
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Wed 11:00
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Graph Neural Networks Do Not Always Oversmooth
Bastian Epping · Alexandre René · Moritz Helias · Michael T Schaub
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Workshop
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Algorithmic Stability of Minimum-Norm Interpolating Deep Neural Networks
Ouns El Harzli · yoonsoo nam · Ilja Kuzborskij · Bernardo Grau · Ard Louis
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Workshop
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Self-Supervised Pre-training of Spiking Neural Networks by Contrasting Events and Frames
Raghav Singhal · Jan Finkbeiner · Emre Neftci
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Workshop
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Gradient-free variational learning with conditional mixture networks
Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley
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Poster
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Wed 16:30
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Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
QINGQI ZHANG · Ruize Xu · Risi Kondor
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Workshop
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Convergence Properties of Hyperbolic Neural Networks on Riemannian Manifolds
Nico Alvarado · Sebastian Burgos
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Workshop
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HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang · Jiaming Yang · Wei Hu · Michal Derezinski
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Poster
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Wed 11:00
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Deep Homomorphism Networks
Takanori Maehara · Hoang NT
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Poster
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Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song · Jianguo Huang · Wenyu Jiang · Baoming Zhang · Shuangjie Li · Chongjun Wang
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Workshop
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Sat 9:09
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Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin
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Poster
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Thu 16:30
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Spiking Graph Neural Network on Riemannian Manifolds
Li Sun · Zhenhao Huang · Qiqi Wan · Hao Peng · Philip S Yu
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Workshop
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Leveraging Intermediate Neural Collapse: Fixing Layers Beyond Effective Depth to Simplex ETFs for Efficient Deep Neural Networks
Emily Liu
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