Graph Neural Networks

Also known as GNN

Latest papers 683

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. Random Probing for Structural Self-Interactions in Graph Neural Networks

    Oct 13, 2026Saku Peltonen, H. Çağrı Bilgi, Kubilay AtasuGraph Neural NetworksGraph Representation Learning

  2. When Missingness Follows the Graph: Beyond Feature Propagation for Missing Features

    Oct 13, 2026Enrico Chialà, Francesco Ferrini, Antonio Longa +4Learning with Missing DataGraph Neural Networks

  3. Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption

    Oct 13, 2026H. Çağrı Bilgi, Kemal Mutluergil, Ceren Yıldırım +2Privacy-Preserving MLGraph Neural Networks

  4. Constant-Depth Rational-Weight GNNs and their Connection to Schanuel's Conjecture

    Oct 12, 2026Daumantas Kojelis, Carsten LutzGraph Neural NetworksGNN Expressivity

  5. An Attention-Guided Graph Neural Network Surrogate for Boundary Integral Computation in Physical Field Reconstruction

    Oct 11, 2026RongZe Gao, YuWei Wu, XinRan Ji +1PDE Surrogate ModelingPDE Inverse Problems

  6. Edge-Native Temporal--Graph Dual-Expert Inference for Dexterous Grasp Classification

    Oct 10, 2026Jiajian Zheng, Bin Zhang, Wen Fan +1Robotic GraspingRobotic Perception

  7. Amortized Counterfactual Prediction with Graph Neural Networks

    Oct 9, 2026Hendrik Stumpf, Francesco QuinzanCounterfactual PredictionCausal Inference

  8. Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs

    Oct 8, 2026David Leko, Luka Benić, Guillermo Bernárdez +3Topological Representation LearningGraph Neural Networks

  9. Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

    Oct 8, 2026Wei Ju, Siyu Yi, Kangjie Zheng +6Graph ClusteringDeep Clustering

  10. Higher-Order Morphology Priors for Quadruped Reinforcement Learning Under Actuator Degradation

    Oct 7, 2026Derek You, Zafir Shamsi, Keqin Wang +1RL for Legged LocomotionQuadruped Locomotion

  11. Oscillatory Neural Dynamics over Sheaves

    Oct 7, 2026Jan-Willem Van Looy, Alessandro Trenta, Alessio Gravina +5Graph Neural NetworksGraph Representation Learning

  12. Node-level Graph Neural Architecture Search Framework

    Oct 7, 2026Lintao Yanga, Sirui Lia, Yaqing Wang +4Graph Neural NetworksNeural Architecture Search

  13. EDiS: Edge Disjoint Subgraph Sparsification Framework for Graph Neural Networks

    Oct 6, 2026Sai Karthik Navuluru, Siddhartha Shankar Das, Franck Dernoncourt +7Graph SparsificationGraph Neural Networks

  14. From the Drosophila Visual Connectome to General-Purpose Computer Vision

    Oct 6, 2026Zongyu Li, Akito Yamauchi, Huaizhi Liu +4Graph Neural NetworksImage Classification

  15. Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning

    Oct 6, 2026Qingying Hao, Zikang Chen, Chuxuan Hu +4Graph Neural NetworksGraph Representation Learning

  16. Neural Algorithmic Reasoning for Graph Saddle Point Problems

    Oct 5, 2026Samantha Chen, Jesse He, Coleman Clougherty +2Primal-Dual OptimizationGraph Neural Networks

  17. Inverse Cross-spectral Neural Networks for Multivariate Time Series

    Oct 5, 2026Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto +2Graph Neural NetworksSpectral Graph Convolution

  18. FairProp: Fair Node Representation Learning via Differentiable Propagation Layers

    Oct 5, 2026Emmanouil Kariotakis, Aritra KonarGraph Neural NetworksGraph Representation Learning

  19. Stability-Shaped Deep Graph Learning

    Oct 5, 2026Junyou Zhu, Langzhou He, Fenying Cai +7Graph Neural Networks

  20. Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning

    Oct 5, 2026Andrea Cavallo, Samuel Rey, Antonio G. Marques +1Graph Structure LearningGraph Neural Networks

  21. Global Communication or Graph-Specific Memory?

    Oct 5, 2026Hamed Shirzad, Danica J. SutherlandGraph Neural NetworksTransductive Learning

  22. GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation

    Oct 4, 2026Murad Hossen, Tasneem Selim, Gurur Gamgam +22LLM EvaluationGraph Neural Networks

  23. Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks

    Oct 3, 2026Carmelo Gonzales, Steffen Schotthöfer, Cory D. HauckNeural Surrogate ModelingPDE Surrogate Modeling

  24. Path Laplacian Encodings for Directed Graphs

    Oct 3, 2026Lydia Mezrag, Semih Cantürk, Michael Perlmutter +2Positional EncodingGraph Neural Networks

  25. Revisiting the Generalization of Neural Graph Edit Distance Models

    Oct 3, 2026Zhouyang Liu, Ning Liu, Yixin Chen +2Cross-Dataset GeneralizationGraph Matching

  26. Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective

    Oct 3, 2026André Ribeiro, Germano Barcelos, Amauri H. Souza +2Graph Neural NetworksSheaf Neural Networks

  27. Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing

    Oct 2, 2026Ferran Hernandez Caralt, Simon Heilig, Adrián Bazaga +3Graph Neural NetworksGraph Representation Learning