graph topology

Causal Influences over Social Learning Networks JMLR 2026 AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System EMNLP 2025 Distributed Conformal Prediction via Message Passing ICML 2025 GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning ICLR 2025 Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025 ICLR: In-Context Learning of Representations ICLR 2025 Individually Stable Dynamics in Coalition Formation over Graphs AAAI 2025 Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting ICLR 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 URLOST: Unsupervised Representation Learning without Stationarity or Topology ICLR 2025 A Graph Dynamics Prior for Relational Inference AAAI 2024 Class-Imbalanced Graph Learning without Class Rebalancing ICML 2024 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring ICML 2024 Privacy Attacks in Decentralized Learning ICML 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024 Beyond Spectral Gap: The Role of the Topology in Decentralized Learning JMLR 2023 CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification ICML 2023 Mastering Spatial Graph Prediction of Road Networks ICCV 2023 On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology ICML 2023 Practical Cross-System Shilling Attacks with Limited Access to Data AAAI 2023 ℓ_∞-Bounds of the MLE in the BTL Model under General Comparison Graphs UAI 2022 Adaptive Kernel Graph Neural Network AAAI 2022 AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks AutoML 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract) AAAI 2022