Graph Neural Networks

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

38 new papers

A weekly snapshot of new work published in Graph Neural Networks.

Period ending 2026-09-14

19 new papers

A weekly snapshot of new work published in Graph Neural Networks.

Period ending 2026-09-07

22 new papers

A weekly snapshot of new work published in Graph Neural Networks.

Inside this field

Focused directions

1,049 papers

Latest in Graph Neural Networks

Browse all topics →
CardsList

  1. Nonlinear Laplacians Improve Signed-Directed Graph Learning

    Aug 1, 2026Ali Parviz, Yuichi YoshidaGraph LaplaciansGraph Neural Networks

  2. RHEA: Reliability-Harmonized Reconstruction and Assignment for Robust Multimodal-Attributed Graph Clustering

    Aug 1, 2026Yinlin Zhu, Di Wu, Ziyu Han +4Text-Attributed Graph

  3. HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning

    Aug 1, 2026Ruichen Xu, Jingxiang Qu, Wenhan Gao +5Graph Representation LearningJoint-Embedding Predictive Architectures

  4. Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides

    Jul 31, 2026Panupol Untarabut, Narjes Jomaa, Sylvian Cadars +4Graph Neural NetworksComputational Chemistry

  5. Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels

    Jul 31, 2026Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2Temporal Graph Neural NetworksGraph Neural Networks

  6. Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

    Jul 31, 2026Dongxiao He, Jiayu Zhang, Jitao Zhao +2Graph Foundation ModelMulti-Label Classification

  7. Beyond Feature and Structure Alignment: Learning Transferable Propagation Knowledge for Graph Foundation Models

    Jul 31, 2026Yi Wang, Jitao Zhao, Di Jin +1Graph Foundation ModelCross-Task Knowledge Transfer

  8. Learning Optimal Dynamic Matching via Graph Neural Networks

    Jul 31, 2026Genta Okada, Shunya Noda, Junpei Komiyama +1Bipartite Perfect MatchingsMatching Markets

  9. Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets

    Jul 30, 2026Ali Rayat, Yunhao Fan, Gia-Wei ChernMagnetic Tunnel JunctionStress Fields

  10. Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors

    Jul 30, 2026Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1Graph Neural NetworksGraph Representations

  11. Graph Neural Multilevel Preconditioners for Iterative Solvers

    Jul 30, 2026Zechen Zhang, Rui Peng Li, Yousef SaadSpectral PreconditioningGraph Neural Networks

  12. MMFGU: Multimodal Federated Graph Unlearning

    Jul 30, 2026Haodong Lu, Zekai Chen, Weiwei Ji +5Federated Graph LearningRobust Multimodal Learning

  13. Fully Inductive Cardinality Estimation

    Jul 30, 2026Tim Schwabe, Lukas Ketzer, Maribel AcostaCardinalitySparql

  14. TopoFormer: Topology Meets Attention for Graph Learning

    Jul 30, 2026Md Joshem Uddin, Astrit Tola, Cuneyt Gurcan Akcora +1Topological Data AnalysisGraph Representations

  15. Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  16. What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models

    Jul 30, 2026Dongxiao He, Siqi Liu, Jitao Zhao +3Graph Foundation ModelGraph Representation Learning

  17. Shapes from Examples: Foundations of Shape Learning in Recursive SHACL

    Jul 30, 2026Bente Gortworst, Cem Okulmus, Magdalena Ortiz +1Knowledge GraphsGraph Representations

  18. Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization

    Jul 30, 2026Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2Graph Neural NetworksTransfer Learning

  19. Harness-G: A Graph-Structured Harness for Search Agents

    Jul 30, 2026Yanning Hou, Haoyuan Chen, Sihang Zhou +7Search AgentsCredit Assignment

  20. MPP-GNN: Subject-Adaptive Community Detection for fMRI-Based Alzheimer's Disease Classification

    Jul 29, 2026Yang Zhang, Xiao Zhou, Jonathan Warrell +3AlzheimerBrain Magnetic Resonance Imaging

  21. Schreier-Coset Graph Rewiring

    Jul 29, 2026Aryan Mishra, Randy Martinez, Lizhen LinGraph Neural NetworksGraph Theory

  22. UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks

    Jul 29, 2026Zhilun Zhou, Jianghao Yu, Yuming Lin +4Data LakesUrban Environments

  23. Universality and Approximation Rates of Graph Neural Networks with Random Features

    Jul 29, 2026Lukas Gonon, Thilo Meyer-Brandis, Niklas WeberGraph Neural NetworksNeural-Network Approximation

  24. Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method

    Jul 29, 2026Yinan Gao, Jiarong Xu, Xiaohang Zhao +1Malware DetectionGraph Representation Learning

  25. AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow Control

    Jul 29, 2026Jingbo Cui, Jitao Zhao, Di Jin +1Graph Foundation ModelFoundation Model

  26. Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts

    Jul 29, 2026Keith G. Mills, Aedan J. DeFrates, Joong Ho KimGraph Neural NetworksMessage Passing Neural Networks

  27. Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks

    Jul 28, 2026Xin Xu, Siru Tao, Kaizhen TanGraph Neural NetworksFinite Groups

  28. Learning the Word Problem: Geodesic Lengths and Cryptographic Applications

    Jul 28, 2026Elisabeth FinkDiffie-HellmanFinite Groups

  29. CHARM: A Multimodal Graph Foundation Model with Hierarchical Context Modeling for Zero-Shot Transfer

    Jul 28, 2026Ankang Yang, Jitao Zhao, Di Jin +2Graph Foundation ModelMultimodal Foundation Model

  30. GraphIDyOM: A graph-native Python reimplementation of IDyOM for musical expectation modelling

    Jul 28, 2026Lluc Bono RossellóSheet MusicHierarchical Graph Memory

  31. TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

    Jul 28, 2026He Ma, Chen LiuLarge-Scale Recommendation SystemsSequential Recommendation

  32. Learned, Relied Upon, or Necessary? Separating Checkpoint Dependence from Task-Level Value in Sheaf GNNs

    Jul 28, 2026Yi LiuGraph Neural NetworksSheaf

  33. Multi-Phonation Graph Learning with Self-Supervised Speech Embeddings for ALS Detection and Progression Prediction

    Jul 28, 2026Behrad TaghiBeyglou, Fatemeh Bagheri, Ervin SejdicSelf-Supervised Speech ModelsDysarthric Speech

  34. HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks

    Jul 28, 2026Phan Binh Nguyen Lam, Nguyen Thai AnhGraph Neural NetworksConformal Prediction

  35. Integrating Factual and Normative Industrial Knowledge via Constraint-Aware Graph Attention for Process Plan Recommendation

    Jul 27, 2026Yuntong Chen, Yingqi Li, Yingying Xiao +5Collaborative FilteringPlanning Methods

  36. ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale

    Jul 26, 2026Yaroslav Popryho, Debjit Pal, Inna Partin-VaisbandHeterogeneous Graph TransformersField-Programmable Gate Arrays

  37. HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document

    Jul 26, 2026Xin He, Yili Wang, Wenqi Fan +4Graph-Based Retrieval Augmented GenerationGraph-Llm Joint

  38. Formalizing Flag Algebras in Lean

    Jul 26, 2026Gyeongwon Jeong, Seonghun Park, Jihoon Hyun +2Graph TheoryAlgebraic Structures

  39. Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

    Jul 26, 2026Haomiao Sun, Fang He, Congyuan Ji +1Vehicle Routing ProblemHeterogeneous Graph Transformers

  40. Does Graph Compression Preserve Signal Propagation?

    Jul 25, 2026Kawshik Banerjee, Khaled Mohammed SaifuddinGraph Representation LearningContext Compression

  41. Co-Evolving Graph and Text Memory for Training-Free Multi-Hop Question Answering

    Jul 25, 2026Hieu Man, Thien Huu NguyenGraph-Based Retrieval Augmented GenerationHierarchical Graph Memory

  42. Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

    Jul 25, 2026Youngseok Hwang, Joonsung Kwon, Geonwoo Lee +1Generalist Graph Anomaly DetectionAnomaly Detection

  43. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphCausal Foundation Models

  44. Graph-Based Correlation Matrix Generation: A Convex Optimization Approach

    Jul 24, 2026Ali Fakhar, K{é}vin Polisano, Ir{è}ne Gannaz +1Tensor CompletionExponential Random Graph Models

  45. Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature

    Jul 24, 2026Rachid Caich, Yassine AbbahaddouGraph Neural NetworksCurvature

  46. Efficient Recommendations via Graph Coarsening and Label Propagation

    Jul 24, 2026Alessandro Sbandi, Federico Siciliano, Fabrizio SilvestriGraph Neural NetworksRecommendation

  47. JustDepth: Real-Time Radar-Camera Depth Estimation with Single-Scan LiDAR Supervision

    Jul 24, 2026Wooyung Yun, Dongwook Kim, Soomok LeeDepth EstimationVision-Radar Fusion

  48. LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks

    Jul 24, 2026Shiyi Liu, Jiaqing Chen, Nicholas Hadler +6Graph Neural NetworksVast Chemical Space

  49. Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement

    Jul 24, 2026Guoming Li, Jian Yang, Xukun Wang +3Graph Neural NetworksGraph Representations

  50. A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks

    Jul 23, 2026Bertil BraunAdaptive Traffic Signal ControlGraph Neural Networks

  51. Graph Learning on Ensembles of Cyclic Peptides: An Investigation of Molecular Ensemble Modeling

    Jul 23, 2026Aaron Feller, Kris Deibler, Maxim SecorCyclic PeptidesConformational Ensembles

  52. Improved lower bounds for the Shannon capacity of odd cycles

    Jul 23, 2026Nathaniel Itty, Christopher D. Rosin, Chase Carstensen +1Maximum Independent SetLower Bounds

  53. Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

    Jul 23, 2026Jiancu Chen, Shuyin Xia, Guan Wang +2Graph Neural NetworksExplainability

  54. Filter Learning for Subgraphs: Algebras and Performance Risk Bounds

    Jul 23, 2026Purui Zhang, Feng Ji, Yanan Zhao +2SubgraphsGraph Laplacians

  55. A Polynomial Architecture-Attribution Co-Design Framework for Exact Aumann-Shapley Attribution in GNNs

    Jul 23, 2026Bizu Feng, Zhimu Yang, Shuming Wang +4Graph Neural NetworksShapley Value

  56. Explainable graph attention network for stress recognition (StressGAT) via differential action units

    Jul 23, 2026Thomas Kassiotis, Stefanos Gkikas, Nikolaos Smyrnis +1Trier Social Stress TestAffective Computing

  57. Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs

    Jul 22, 2026Parul Maheshwari, Amulya Paruchuri, Yiqing Zou +3Multimodal RecommendationGraph Representations

  58. CLARK: Closed-loop Learning for Adaptive Reasoning over Knowledge Graphs

    Jul 22, 2026Yousef Khan, Luca Gherardini, Marco Maratea +2Knowledge GraphsGraph Representation Learning

  59. Lightweight Person-Place Relation Extraction from Historical Newspapers with Dependency Graphs and Proximity Features

    Jul 22, 2026Mlen-Too WesleyRelation ExtractionGraph-Based Retrieval

  60. GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models

    Jul 21, 2026Alessandro Scalese, Santhanakrishnan Narayanan, Constantinos AntoniouTemporal Graph Neural NetworksAccurate Traffic Forecasting