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Workshop
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Conic Activation Functions
Changqing Fu · Laurent Cohen
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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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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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Workshop
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Generative Neural Reparameterization for Differentiable PDE-Constrained Optimization
Archis Joglekar
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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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Challenges of Generating Structurally Diverse Graphs
Fedor Velikonivtsev · Mikhail Mironov · Liudmila Prokhorenkova
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Poster
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Thu 11:00
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Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
Cai Zhou · Xiyuan Wang · Muhan Zhang
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Poster
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Wed 16:30
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Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv · Dongqi Han · Yansen Wang · Xiaoqing Zheng · Xuanjing Huang · Dongsheng Li
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Workshop
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Relational Data Generation with Graph Neural Networks and Latent Diffusion Models
Valter Hudovernik
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Poster
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Wed 11:00
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[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
Batu Helvacioglu · Ana Vasilcoiu · Thijs Stessen · Thies Kersten
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Poster
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Wed 11:00
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Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao · Qingsong Wen · Xiaoli Li · Ee-peng Lim · Guansong Pang
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Poster
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Wed 11:00
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RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Jiaxing Zhang · Zhuomin Chen · hao mei · Longchao Da · Dongsheng Luo · Hua Wei
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