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Workshop
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Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
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Workshop
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An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert · Elvis Dohmatob · Thomas Ricatte
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Workshop
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Scalable Vector Representation for Topological Data Analysis Based Classification
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
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Workshop
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A Generalized Framework for Microstructural Optimization using Neural Networks
Saketh Sridhara · Aaditya Chandrasekhar · Krishnan Suresh
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Poster
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Thu 14:00
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Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar · Francesco Di Giovanni · Benjamin Chamberlain · Pietro Lió · Michael Bronstein
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Poster
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Thu 9:00
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
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Workshop
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Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
Samuel Leventhal · Attila Gyulassy · Valerio Pascucci · Mark Heimann
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Poster
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Wed 14:00
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Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate
Zhuoqing Song · Weijian Li · Kexin Jin · Lei Shi · Ming Yan · Wotao Yin · Kun Yuan
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Workshop
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pyGSL: A Graph Structure Learning Toolkit
Max Wasserman · Gonzalo Mateos
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Poster
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Tue 14:00
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Neural Approximation of Graph Topological Features
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Yusu Wang · Chao Chen
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Workshop
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Learning Topological Representation of Sensor Network with Persistent Homology in HCI Systems
Yan Yan · Cheng-Dong Li · Jing Xiong · Lei Wang
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Workshop
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Sat 9:10
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Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Sarah McGuire · Shane Jackson · Tegan Emerson · Henry Kvinge
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