Graph Neural Networks

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Period ending 2026-09-21

38 new papers

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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.

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  1. HBGSA: Hydrogen Bond Graph with Self-Attention for Drug-Target Binding Affinity Prediction

    Apr 25, 2026Junxiao Kong, Chupei Tang, Di Wang +4Structure-Based Drug DesignHeterogeneous Graph Transformers

  2. Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

    Apr 24, 2026Yuchen Xiong, Swee Keong Yeap, Zhen Hong BanGraph Representation LearningFingerprint

  3. Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning

    Apr 23, 2026João Mattos, Arlei SilvaGraph Foundation ModelWireless Foundation Models

  4. Towards Understanding the Expressive Power of GNNs with Global Readout

    Apr 23, 2026Maurice Funk, Daumantas KojelisGraph Neural NetworksExpressivity

  5. The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks

    Apr 23, 2026Sebastiano A. Piccolo, Andrea TagarelliMaximum Independent SetMultiple Centrality Measures

  6. GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA

    Apr 23, 2026Anvitha Ramachandran, Dhruv Parikh, Viktor PrasannaGraph Neural NetworksSparse Deep Neural Network Accelerators

  7. Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation

    Apr 23, 2026Hanwen Gu, Chao Guo, Junle Wang +2Llm-Generated StoriesNarratives

  8. Doubly Saturated Ramsey Graphs: A Case Study in Computer-Assisted Mathematical Discovery

    Apr 23, 2026Benjamin Przybocki, John Mackey, Marijn J. H. Heule +1Graph TheoryMaximum Independent Set

  9. Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction

    Apr 22, 2026Thinh Nguyen-Cong, Truong-Son Hy, Thang N. DinhFederated Graph LearningGraph Representation Learning

  10. TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks

    Apr 22, 2026Bhavana SajjaFraud DetectionGraph Neural Networks

  11. Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories

    Apr 22, 2026Ali Rayat, Yaohang Li, Gia-Wei ChernEffective Field TheoryGauge

  12. F\textsuperscript{2}LP-AP: Fast & Flexible Label Propagation with Adaptive Propagation Kernel

    Apr 22, 2026Yutong Shen, Ruizhe Xia, Jingyi Liu +1Graph Neural NetworksText-Attributed Graph

  13. Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization

    Apr 22, 2026Shan He, Runze Wang, Zhuoyun Du +4Multi-Agent EvolutionMulti-Agent Systems

  14. Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis

    Apr 22, 2026Fariz Ikhwantri, Dusica MarijanReasoning GraphsAssurance

  15. Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder

    Apr 22, 2026Georgios Anyfantis, Pere Barlet-RosGraph Neural NetworksAccurate Traffic Forecasting

  16. Mechanistic Interpretability Tool for AI Weather Models

    Apr 22, 2026Kirsten I. Tempest, Matthias Beylich, George C. CraigArtificial Intelligence Weather ModelsMechanistic Interpretability

  17. Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

    Apr 22, 2026Burak Karabulut, Carlo Manna, Chris DevelderTemporal Graph Neural NetworksGraph Neural Networks

  18. Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning

    Apr 22, 2026Yuhan Peng, Junwen Dong, Yuzhi Zeng +6SheafGraph Neural Networks

  19. Concept Graph Convolutions: Message Passing in the Concept Space

    Apr 22, 2026Lucie Charlotte Magister, Pietro LioGraph Neural Networks

  20. Improved large-scale graph learning through ridge spectral sparsification

    Apr 22, 2026Daniele Calandriello, Ioannis Koutis, Alessandro Lazaric +1Graph LaplaciansGraph Representation Learning

  21. Overcoming the Impedance Mismatch: A Theoretical Roadmap for Fusing Foundation Models and Knowledge Graphs

    Apr 21, 2026Sahil Rajesh DhayalkarGraph Foundation ModelNeuro-Symbolic Framework

  22. Is Four Enough? Automated Reasoning Approaches and Dual Bounds for Condorcet Dimensions of Elections

    Apr 21, 2026Itai Zilberstein, Ratip Emin Berker, George Li +1Upper BoundsMaximum Independent Set

  23. When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift

    Apr 21, 2026Saket MagantiGraph Neural NetworksFraud Detection

  24. TACENR: Task-Agnostic Contrastive Explanations for Node Representations

    Apr 21, 2026Vasiliki Papanikou, Evaggelia PitouraGraph Representation Learning

  25. Graph-Theoretic Models for the Prediction of Molecular Measurements

    Apr 21, 2026Anna Niane, Prudence DjagbaMolecular Property PredictionMolecular Structure Elucidation

  26. The Logical Expressiveness of Topological Neural Networks

    Apr 21, 2026Amirreza Akbari, Amauri H. Souza, Vikas GargGraph Neural NetworksPropositions

  27. Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning

    Apr 21, 2026Xiangmeng Wang, Qian Li, Haiyang Xia +3Text-Attributed GraphSubgraphs

  28. FOCAL-Attention for Heterogeneous Multi-Label Prediction

    Apr 21, 2026Chenghao Zhang, Qingqing Long, Ludi Wang +3Multi-Label ClassificationText-Attributed Graph

  29. Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

    Apr 21, 2026Jeongwhan Choi, Jongwoo Kim, Woosung Kang +1Graph Neural NetworksGraph Representations

  30. Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph

    Apr 20, 2026Vassilios Exarhakos, Jinghui Cheng, Jin L. C. GuoAi-RanGraph Representations

  31. Subgraph Concept Networks: Concept Levels in Graph Classification

    Apr 20, 2026Lucie Charlotte Magister, Alexander Norcliffe, Iulia Duta +1Graph Neural NetworksSubgraphs

  32. Spectral bandits for smooth graph functions

    Apr 20, 2026Michal Valko, Rémi Munos, Branislav Kveton +1Multi-Armed BanditsBandits

  33. ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation

    Apr 20, 2026Qingying Niu, Yuhao Wang, Ruiyang Ren +2ArbitrationFactual Recall

  34. One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction

    Apr 20, 2026Jihong Guan, Jiaqi Wang, Wengen Li +3Knowledge Graph CompletionRdf

  35. Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference

    Apr 20, 2026Michal PodstawskiGraph Representation LearningLarge Language Model Fine-Tuning

  36. Multi-View Hierarchical Graph Neural Network for Sketch-Based 3D Shape Retrieval

    Apr 20, 2026Hang Cheng, Muyan He, Mingyu Fan +33D RepresentationGraph Neural Networks

  37. GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation

    Apr 20, 2026Lin Mu, Guoji Wang, Li Ni +4RecommendationLow-Rank Adaptation

  38. LoReC: Rethinking Large Language Models for Graph Data Analysis

    Apr 20, 2026Hongyu Zhan, Qixin Wang, Yusen Tan +6Graph RepresentationsGraph Language Models

  39. Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells

    Apr 19, 2026Mattie Ji, Indradyumna Roy, Vikas GargPersistent HomologyGraph Neural Networks

  40. DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs

    Apr 19, 2026Lexuan Liang, Tao Zou, Xuxiang Ta +1Text-Attributed GraphGraph Neural Networks

  41. LLM-Guided Strategy Synthesis for Scalable Equality Saturation

    Apr 19, 2026Chenyun Yin, Youwei Xiao, Yuze Luo +2SatisfiabilityCode Optimization

  42. Capacity-Controlled Global Attention for Graph Transformers

    Apr 19, 2026Yang Liu, Dongxin Guo, Tom Zheng +3Heterogeneous Graph TransformersTransformer Attention

  43. Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection

    Apr 19, 2026H. M. Shadman Tabib, Tasriad Ahmed Tias, Nafis TahmidForgeriesDigital Forensics

  44. HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification

    Apr 19, 2026Ziqing Wang, Kaize DingText-Attributed GraphUniversal Factorization Problem

  45. A phenotype-driven and evidence-governed framework for knowledge graph enrichment and hypotheses discovery in population data

    Apr 18, 2026Adela Bâra, Simona-Vasilica OpreaKnowledge GraphsHypothesis Generation

  46. L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing

    Apr 18, 2026Yun-Peng Li, Hans-Andrea LoeligerLassoRegularization Techniques

  47. LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning

    Apr 18, 2026Yikun Wang, Yujie Wan, Wei Zuo +4Dynamic Scene ReconstructionLight Detection And Ranging

  48. GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba

    Apr 18, 2026Dongyi He, Yuanquan Gao, Bin Jiang +1Accurate Traffic ForecastingTemporal Dependence

  49. Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks

    Apr 18, 2026Huaxin Wang, Xinge Wu, Jiajun Liu +4Quantum Error CorrectionQuantum Circuit Simulation

  50. Why Colors Make Clustering Harder:Global Integrality Gaps, the Price of Fairness, and Color-Coupled Algorithms in Chromatic Correlation Clustering

    Apr 17, 2026Ibne Farabi Shihab, Sanjeda Akter, Anuj SharmaMaximum Independent SetImage Clustering

  51. Graph self-supervised learning based on frequency corruption

    Apr 17, 2026Haojie Li, Mengjiao Zhang, Guanfeng Liu +3Graph Representation LearningHigh-Frequency Textures

  52. NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection

    Apr 17, 2026Zehao Wang, Lanjun WangGeneralist Graph Anomaly DetectionText-Attributed Graph

  53. A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws

    Apr 17, 2026Jiamin Jiang, Shanglin Lv, Jingrun ChenNeural SolversSurrogate Models

  54. How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations

    Apr 16, 2026Nouhaila Innan, Antonello Rosato, Alberto Marchisio +1Graph Neural Networks

  55. Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks

    Apr 16, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaGraph Neural NetworksGraph Laplacians

  56. Analysis of Multitasking Pareto Optimization for Monotone Submodular Problems

    Apr 16, 2026Liam Wigney, Frank NeumannSubmodular MaximizationKnapsack Constraint

  57. PUFFIN: Protein Unit Discovery with Functional Supervision

    Apr 16, 2026Gökçe Uludoğan, Buse Giledereli, Elif Ozkirimli +1Protein Data BankProtein

  58. CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations

    Apr 16, 2026Xiping Li, Aier Yang, Jianghong Ma +4Recommender SystemsRecommendation

  59. VeriGraphi: A Multi-Agent Framework of Hierarchical RTL Generation for Large Hardware Designs

    Apr 16, 2026Sazzadul Islam, Tasnim Tabassum, Hao ZhengVhdlHardware Description Languages

  60. A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature

    Apr 14, 2026Xiang Gu, Huichun Zhang, Jian SunLower BoundsWasserstein Distance