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Abstract page for arXiv paper 2506.03087: Do Explanations Increase the Risk of Decision Logic Leakage? Explanation-Guided Stealing of Graph Models
Abstract page for arXiv paper 2510.23469: Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias
Abstract page for arXiv paper 2606.03794: Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs
Abstract page for arXiv paper 2606.03460: From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring
Abstract page for arXiv paper 2606.03462: Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks
Abstract page for arXiv paper 2605.31315: Graph Neural Networks Are Not Continuous Across Graph Resolutions
Abstract page for arXiv paper 2605.31013: Physics-Informed Coarsening for Multigrid Graph Neural Surrogates
Abstract page for arXiv paper 2605.29228: Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of...
Abstract page for arXiv paper 2605.27770: Sampling Triangulations and Calabi-Yau Threefolds with Autoregressive GNNs
Abstract page for arXiv paper 2605.28103: Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph De...
Abstract page for arXiv paper 2605.28578: A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
Abstract page for arXiv paper 2605.28300: T-GINEE: A Tensor-Based Multilayer Graph Representation Learning