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. ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes

    Aug 11, 2026Ziyan Wang, Liwen Wu, Cheng Xie +3Generalist Graph Anomaly DetectionText-Attributed Graph

  2. Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment

    Aug 11, 2026Yan Wang, Chuan-Xian RenMessage Passing Neural NetworksMitigation

  3. Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference

    Aug 10, 2026Burc GokdenHeterogeneous Graph TransformersLarge Language Model Decoder

  4. LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

    Aug 10, 2026Killian Cressant, Pedro B. VellosoGraph Neural NetworksMultiple Centrality Measures

  5. VeinCast: Physics-Guided Dynamic Field Graphs with Graph-Conditioned Fusion for Global Medium-Range Weather Forecasting

    Aug 10, 2026Zhisheng Chen, Jinhan Li, Yuxuan Li +6Artificial Intelligence Weather ModelsGraph Representations

  6. An Explainable GNN Framework for Component-Level Anomaly Diagnosis

    Aug 10, 2026Sena Ozgunay, Louise Trav{é}-Massuy{è}s, Jean-Michel Loubes +1Anomaly DetectionFault Diagnosis

  7. RAVEN: Frozen Random Graph Reservoirs with Physics-Informed Interaction Fingerprints for Protein-Ligand Binding Affinity Prediction

    Aug 10, 2026Qingyang Zou, Jiaye Huang, Hangbo Xie +3Structure-Based Drug DesignExponential Random Graph Models

  8. F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting

    Aug 10, 2026Jiayi Zhang, Jinfeng Xu, Hewei Wang +7Temporal Graph Neural NetworksSpatiotemporal Prediction

  9. HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models

    Aug 10, 2026Isuru Herath, Arin Gopakumar, Sharan SahuMessage Passing Neural NetworksSequence Modeling

  10. ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration

    Aug 9, 2026Guo Chen, Ziwen Li, Reed Li +4Multi-Agent SystemsEvaluation Benchmarks

  11. Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks

    Aug 9, 2026Omer Yom-Tov, Avigdor GalGraph Foundation ModelZero-Shot Link Prediction

  12. Can Graph Learning Learn Circuits?

    Aug 9, 2026Chester Tan, Moritz Lampert, Courtney Maynard +3Graph Representation LearningGraph Neural Networks

  13. Exact Zarankiewicz Values On Two Finite Frontier Slices

    Aug 8, 2026Koyar AfrasyabGraph TheoryRiemann Zeta Function

  14. Neurosymbolic Discovery of Algebraic Graph Constructions

    Aug 8, 2026David Seka, Stefan SzeiderGraph TheoryAlgebraic Structures

  15. KGCache: Amortized Subgraph Retrieval for KG Reasoning with LLMs

    Aug 8, 2026Uros Stanic, Changcheng Yuan, Sabuj Laskar +1Knowledge GraphsCache

  16. LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs

    Aug 7, 2026Liad Gerstman, Aditya Dhakal, Dejan Milojicic +1Graph Neural NetworksMulti-Gpu Systems

  17. When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series

    Aug 7, 2026Chen Shao, Yue Wang, Zhenyi Zhu +4Temporal Graph Neural NetworksGraph Neural Networks

  18. Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses

    Aug 7, 2026Shrutendra Harsola, Vignesh SubrahmaniamLlm-Based Forecasting MethodsLoad Forecasting

  19. Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

    Aug 7, 2026Yuning Yu, José Rodríguez-Piñeiro, Xuefeng Yin +1Image ClusteringSubgraphs

  20. ReGraph: Learning to Generate Recipe Graphs from Food Images

    Aug 7, 2026Guoshan Liu, Bin Zhu, Pengkun Jiao +3RecipeGraph Representation Learning

  21. Graph Machine: Exploring Edge Mechanisms as an Inductive Bias

    Aug 7, 2026Lintai HouHeterogeneous Graph TransformersUnified Inductive Bias

  22. Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection

    Aug 7, 2026Jun Seo Kim, Hye Hyeon KimCognitive DiagnosisMental Health

  23. ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling

    Aug 7, 2026Yihui Li, Yihui Chen, Kaidi Zha +7Building Information ModelingEnergy Resources

  24. CertBind from Multimodal Connectivity to Certifiable Retrieval Decisions

    Aug 6, 2026Shuheng Cao, Zhenhao Zhang, Ruiqi Chen +7Retrieval TaskSharp Boundary Delineation

  25. Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

    Aug 6, 2026Rafał Buler, Jakub Buler, Maciej Bobowicz +1Skin Lesion ClassificationMultiple Instance Learning

  26. SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction

    Aug 6, 2026Guofan Yu, Sitian Chen, Zhenheng Tang +2Graph Neural NetworksGnn-Based Detectors

  27. Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings

    Aug 5, 2026Hao Ding, Daniel Semchin, Paul M. Thompson +1Key Vertebral Morphometry VariablesGeodesic

  28. Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite

    Aug 5, 2026Xiawei Yue, Boran Wang, Xiaoqing Zhang +2Hierarchical Graph MemoryGraph Representations

  29. MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres

    Aug 5, 2026M. L. Carroll, J. Li, S. D. Guzewich +3Artificial Intelligence Weather ModelsClimate

  30. SparseDitto: An Agentic Sparse Compilation Framework through Architecture-Aware Synthesis on GPUs

    Aug 5, 2026Shiyang Li, Guangyan Sun, Jinwei Tang +3Graphics Processing Unit KernelsSparsity

  31. Link prediction on multi-relational graphs from an influence propagation perspective

    Aug 5, 2026Zidu Yin, Yuankai Qi, Dong Gong +3Zero-Shot Link PredictionGraph Representations

  32. Tropical Algebraic Geometry for Neuronal Representations: An Arakelov-Green Measure Based Descriptor for Graph Learning

    Aug 5, 2026Yuyang Zhang, Weihan Xu, Xuehai Zhou +2Graph Neural NetworksImplicit Neural Representations

  33. Q-CueGraph: Query-Conditioned Visual Evidence Graphs for Multimodal Reasoning

    Aug 5, 2026Pengcheng Pan, Xinfang ZhangVisual EvidenceMultimodal Reasoning

  34. NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning

    Aug 5, 2026Tinghe Zhang, Jian Xu, Jiaheng Chen +3Graph Representation LearningJoint-Embedding Predictive Architectures

  35. EA-Graph: Artifact-Anchored Verification Memory for Coding Agents under Upstream Drift

    Aug 4, 2026Hwai-Jung Hsu, Cheng-Jan Chi, Hanna EverettSystemverilog AssertionsHierarchical Graph Memory

  36. Geometry-Informed Parameter-Efficient Fine-Tuning of Pre-trained Molecular GNNs for Blood-Brain Barrier Permeability Prediction

    Aug 4, 2026Marco Vieto Vega, Long D. Nguyen, Binh P. NguyenGraph Neural NetworksGeometric Deep Learning

  37. PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

    Aug 4, 2026Yuyang Xia, Ruixuan Liu, Li XiongGnn-Based DetectorsInference Engine

  38. Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models

    Aug 4, 2026Harrison Copp, Charlton Li, Anžej Margeta-Cacace +1Variational Quantum CircuitsQuantum Approximate Optimization Algorithm

  39. Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

    Aug 4, 2026Xinyu Wang, Yixuan Li, Hanwei Wu +4Clinical PredictionElectronic Health Records

  40. Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal GraphsGraph Neural Networks

  41. Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniGraph RepresentationsNvidia Nemotron

  42. EFX Allocation In (Multi)Hypergraphs

    Aug 4, 2026Thanasis Lianeas, Alkmini Sgouritsa, Minas Marios SotiriouMaximum Independent SetHypergraphs

  43. A Graph Signal Processing Perspective on Numerical Sequence Representations in LLM In-Context Learning

    Aug 4, 2026Jiajun Bao, Zihao Qi, Toni J. B. Liu +4In-Context LearningSequence Modeling

  44. When Should Graph Attention Be Sparse? Learning a Per-Edge Tsallis Index

    Aug 3, 2026Kleyton da Costa, Bernardo ModenesiHeterogeneous Graph TransformersText-Attributed Graph

  45. DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing

    Aug 3, 2026Sagnik Nandy, Samriddha Lahiry, Pragya Sur +1Multimodal LearningMessage Passing Neural Networks

  46. Designing a Good Virtual Node: Addressable and Cardinality-Preserving Global Memory for Message Passing Architectures

    Aug 3, 2026Félix MarcocciaMessage Passing Neural Networks

  47. Benchmarking Sheaf Neural Networks for Inductive Tasks

    Aug 3, 2026Stefano Fiorini, Edoardo Coppola, Pietro LiòSheafGraph Neural Networks

  48. Optimal Unambiguous DNFs and Alon-Saks-Seymour

    Aug 3, 2026Chirag PabbarajuMaximum Independent SetFinite-Sample Certificates

  49. Network Information Enhances Unreliable News Domain Detection

    Aug 3, 2026Raphaela Keßler, Roman David Ventzke, Viola Priesemann +1Fake News DetectionHeadlines

  50. FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordante

    Aug 3, 2026Anton Chernikov, Yurii Litvinov, Kirill Smirnov +1SubgraphsProfiling

  51. Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning

    Aug 3, 2026Xin Liu, Xiyuan Chen, Chenglong Wu +3Graph Representation LearningCredit Risk Prediction

  52. CoRe-GNN: Multilevel Message passing on Coarsened graphs

    Aug 3, 2026Antonin Joly, Nicolas Keriven, Aline RoumyGraph Neural NetworksGnn-Based Detectors

  53. Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context

    Aug 3, 2026Samuel Valenzuela, Johannes KinderReverse EngineeringGlobal Embeddings

  54. EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming

    Aug 3, 2026Kaustuv Mukherji, Jaikrishna Manojkumar Patil, Colton Payne +4Vulnerability Detection & RepairLarge Language Model Safety

  55. GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks

    Aug 3, 2026Jiarui Tan, Zhongjian Zhang, YaBo Guo +5Graph RepresentationsLarge Language Model Agents

  56. GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution

    Aug 3, 2026Zhen Liu, Wanqi Zhou, Shuanghao Bai +3Neural Architecture SearchGraph Representations

  57. GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization

    Aug 2, 2026Baihan Yang, Tiexin Li, Yuheng Liu +43D Gaussian Splatting3D Object Understanding

  58. Differentiable Lifting for Topological Neural Networks

    Aug 2, 2026Jorge Luiz Franco, Gabriel Duarte, Alexander Nikitin +3Topological Deep LearningGraph Neural Networks

  59. KING: Embodiment-Aware Kinematic Graph Neural Network for Unified Motion Representation of Legged and Wheeled Robots

    Aug 2, 2026Taku Okawara, Aoki Takanose, Kenji Koide +2Pose-Guided Kinematic ReasoningKinematics

  60. Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes

    Aug 2, 2026Aoting Zeng, Kai Wang, Jianwei Wang +3UnsupervisedGraph Representations