Graph Neural Networks

Also known as GNN

Latest papers 686

88 papers in the last four weeks, up 31% on the four weeks before. 0.5% of all new papers.

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  1. Decoding Functional Networks for Visual Categories via GNNs

    Mar 30, 2026Shira Karmi, Galia Avidan, Tammy Riklin RavivVisual NeuroscienceBrain Network Analysis

  2. FairGC: Fairness-aware Graph Condensation

    Mar 30, 2026Yihan Gao, Chenxi Huang, Wen Shi +5Algorithmic FairnessGroup Fairness

  3. NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information

    Mar 30, 2026Qing Qing, Huafei Huang, Mingliang Hou +2Anomaly DetectionGraph Neural Networks

  4. Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs

    Mar 29, 2026Tanvir Hossain, Muhammad Ifte Khairul Islam, Lilia Chebbah +2Graph Neural NetworksGraph Representation Learning

  5. GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph

    Mar 28, 2026Yuebo Luo, Shiyang Li, Yifei Feng +3Graph Neural NetworksMemory-Efficient Training

  6. Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks

    Mar 27, 2026Shuyi Gao, Stavros Orfanoudakis, Shengren Hou +2Power SystemsRL Control

  7. Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow

    Mar 27, 2026Jicheng Ma, Yunyan Yang, Juan Zhao +1Graph Representation LearningGraph Neural Networks

  8. On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks

    Mar 27, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksGraph Rewiring

  9. Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?

    Mar 27, 2026Yuhang Ma, Jie Wang, Zheng YanGraph Neural NetworksAdversarial Robustness

  10. Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning

    Mar 25, 2026Vivienne Pelletier, Vedant Bhat, Daniel J. Rivera +2Machine Learning Interatomic PotentialsData-Efficient Learning

  11. CGRL: Causal-Guided Representation Learning for Node-Level Out-of-Distribution Generalization

    Mar 25, 2026Bowen Lu, Lianqiang Yang, Teng Li +1OOD GeneralizationGraph Neural Networks

  12. Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?

    Mar 25, 2026Eyal WeissGraph Neural NetworksGraph Heterophily

  13. Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

    Mar 25, 2026Lucas Gerken Starepravo, Georgios Fourtakas, Steven Lind +3Neural PDE SolversGraph Neural Networks

  14. Reservoir-Based Graph Convolutional Networks

    Mar 25, 2026Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub +1Graph Neural NetworksConvolutional Neural Networks

  15. KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits

    Mar 25, 2026Peng Xu, Yapeng Li, Tinghuan Chen +2Representation LearningGraph Representation Learning

  16. The impact of sensor placement on graph-neural-network-based leakage detection

    Mar 25, 2026J. J. H. van Gemert, V. Breschi, D. R. Yntema +2Fault DetectionGraph Neural Networks

  17. LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks

    Mar 24, 2026Chung-Hoo Poon, James Kwok, Calvin Chow +1Financial Fraud DetectionGraph Neural Networks

  18. Can Graph Foundation Models Generalize Over Architecture?

    Mar 24, 2026Benjamin Gutteridge, Michael Bronstein, Xiaowen DongGraph Foundation ModelsGraph Neural Networks

  19. Avoiding Over-smoothing in Social Media Rumor Detection with Pre-trained Propagation Tree Transformer

    Mar 24, 2026Chaoqun Cui, Caiyan JiaFake News DetectionGraph Transformer

  20. Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials

    Mar 24, 2026Shuyu Bi, Zhede Zhao, Qiangchao Sun +3Machine Learning Interatomic PotentialsGraph Neural Networks

  21. CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions

    Mar 24, 2026Pronob Kumar Barman, Pronoy Kumar BarmanClinical NLPGraph Neural Networks

  22. Improving LLM Final Representations with Inter-Layer Geometry

    Mar 24, 2026Tom Ulanovski, Eyal Blyachman, Maya Bechler-SpeicherGraph Neural NetworksRepresentation Geometry in Language Models

  23. Symbolic Graph Networks for Robust PDE Discovery from Noisy Sparse Data

    Mar 23, 2026Xingyu Chen, Junxiu An, Jun Guo +1PDE DiscoveryGraph Neural Networks

  24. MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction

    Mar 23, 2026Yunchi Yang, Longlong Li, Jianliang Wu +1Sequential RecommendationRecommender Systems

  25. Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations

    Mar 22, 2026Tao Meng, Weilun Tang, Yuntao Shou +4Emotion Recognition in ConversationsMultimodal Emotion Recognition

  26. GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies

    Mar 21, 2026Uzair Shah, Marco Agus, Mahmoud Gamal +5Topological Representation LearningMultimodal Graph Learning

  27. Adversarial Attacks on Locally Private Graph Neural Networks

    Mar 21, 2026Matta Varun, Ajay Kumar Dhakar, Yuan Hong +1Adversarial AttacksGraph Neural Networks

  28. SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

    Mar 20, 2026Ruiying Chen, Yutong Wang, Houliang Zhou +3Irregular Time-Series ModelingAlzheimer's Disease