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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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Power Grid Congestion Management via Topology Optimization with AlphaZero
Matthias Dorfer · Anton R. Fuxjaeger · Kristián Kozák · Patrick Blies · Marcel Wasserer
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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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Workshop
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Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu · Dimitris Samaras · 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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Refined Convergence and Topology Learning for Decentralized Optimization with Heterogeneous Data
Batiste Le bars · Aurélien Bellet · Marc Tommasi · Erick Lavoie · Anne-marie Kermarrec
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Workshop
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Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu · Dimitris Samaras · Chao Chen
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Workshop
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pyGSL: A Graph Structure Learning Toolkit
Max Wasserman · Gonzalo Mateos
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Affinity Workshop
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A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
Yu Qin · Brittany Terese Fasy · Carola Wenk · Brian Summa
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Workshop
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Topological Ensemble Detection with Differentiable Yoking
David Klindt · Sigurd Gaukstad · Erik Hermansen · Melvin Vaupel · Benjamin Dunn
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Workshop
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Understanding Optimization Challenges when Encoding to Geometric Structures
Babak Esmaeili · Robin Walters · Heiko Zimmermann · Jan-Willem van de Meent
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