Dynamic Graph Learning

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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  1. WorldGraph: Graph-Native World Modeling

    Sep 28, 2026Zezhong Ding, Yipeng Li, Xike XieWorld Model LearningWorld Models

    School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC) · Data Darkness Lab, Suzhou Institute for Advanced Research, USTC · School of Biomedical Engineering, USTC

  2. Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies

    Sep 23, 2026Alex Schutz, Nick Hawes, Victor-Alexandru DarvariuLatent Dynamics ModelingDynamic Graph Learning

    Oxford Robotics Institute University of Oxford

  3. CacheDyG: Decoupling Temporal Propagation for Efficient Dynamic Graph Learning

    Sep 22, 2026PinHeng Zong, Ye YuanTemporal GNNsTemporal Link Prediction

    College of Computer and Information Science, Southwest University, Chongqing, China

  4. Time-Aligned Evolving Concept Graphs for Scientific Relation Forecasting

    Sep 16, 2026Fred Sun, Jingze Wang, Minkun Xu +1AI-Assisted Scientific ResearchTemporal Link Prediction

    Center for Brain-Inspired Computing Research, Department of Precision Instrument, Tsinghua University, Beijing, China · Guangdong Institute of Intelligence Science and Technology, Zhuhai, China

  5. Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

    Sep 2, 2026Philipp Schlinge, Jean-Luc Schnipper, Martin AtzmuellerTemporal GNNsData Augmentation

    Osnabrück University, 49074 Osnabrueck,Germany · German Research Centre for Artificial Intelligence (DFKI), 49084 Osnabrück, Germany

  6. Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding

    Aug 19, 2026Aleksandar Tomčić, Miloš Savić, Miloš RadovanovićGraph Neural NetworksDynamic Graph Learning

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia Trg Dositeja Obradovi´ca 4, 21000 Novi Sad, Serbia

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

    Aug 10, 2026Zhisheng Chen, Jinhan Li, Yuxuan Li +6Dynamic Graph LearningPhysics-Informed ML

    1Nanyang Technological University · 2Tsinghua University · 3Peking University +1

  8. A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration

    Aug 9, 2026Wei Wang, Yaosen Chen, Han Yang +5World Model LearningWorld Models

    Sobey Media Intelligence Laboratory

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

    Aug 7, 2026Chen Shao, Yue Wang, Zhenyi Zhu +4Multivariate Time Series ForecastingTemporal GNNs

    Karlsruhe Institute of Technology, Germany · The Hong Kong University of Science and Technology, Hong Kong SAR · East China Normal University, China +1

  10. Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning

    Aug 7, 2026Poupak Azad, Cuneyt Gurcan Akcora, Kiarash ShamsiDynamic Graph Learning

    University of Manitoba, Canada · University of Central Florida, United States

  11. Where Does Neural Advantage Arise in Continuous-Time Dynamic Graph Prediction?

    Aug 7, 2026Minwoo Yu, Young-guk HaTemporal GNNsTemporal Link Prediction

    Smart Computing Laboratory, Department of Computer Science & Engineering, Konkuk University, Seoul 05029, Republic of Korea

  12. Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts

    Aug 6, 2026Quanxin Wang, Xuanting Xie, Bingheng Li +4Link PredictionFew-Shot Learning

    University of Electronic Science and Technology of China · 2Michigan State University · 3Singapore Management University +2

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

    Aug 4, 2026Yuyang Xia, Ruixuan Liu, Li XiongDynamic Graph LearningPrivacy-Preserving ML

    Emory University Atlanta, Georgia, USA

  14. Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniGPU AccelerationClustering

    University of Pisa, Dept. of Computer Science, 56127 Pisa PI, Italy · National Research Council, 56124 Pisa PI, Italy

  15. Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems

    Aug 3, 2026Liangjun You, Min Wu, Orlando Woods +1Multivariate Time Series ForecastingDynamic Graph Learning

    City University of Hong Kong (Dongguan) China · A*STAR Singapore · Singapore Management University Singapore

  16. Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

    Jul 30, 2026Yan KongTemporal GNNsTemporal Link Prediction

    Nanjing University of Information Science and Technology, China

  17. Back to All-Entity Ranking: Sampler-Dependent Evaluation in Continuous-Time Dynamic Graphs

    Jul 30, 2026Minwoo Yu, Young-guk HaLearning to RankDynamic Graph Learning

    Smart Computing Laboratory, Department of Computer Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea

  18. GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs

    Jul 26, 2026Mohammad Ostadmohammadi, Sepehr Kazemi, Hamid R. RabieeEvent Time PredictionDynamic Graph Learning

    Department of Computer Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran · Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran · Sharif University of Technology, Azadi Ave., Tehran, Iran

  19. Adaptive Multi-Expert Graph Transformer for Interpretable EEG-Based Diagnostics

    Jul 20, 2026Maryam Rahimimovassagh, Md Elias Hossain, Ivan Garibay +1ElectroencephalographyDynamic Graph Learning

    Department of Industrial Engineering and Management Systems University of Central Florida, Orlando, FL, USA

  20. Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs

    Jul 20, 2026Huizhe Zhang, Yuchang Zhu, Huazhen Zhong +2Temporal GNNsGraph SSL

    Sun Yat-sen University Guangzhou, China · Sun Yat-sen University Zhuhai, China

  21. TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching

    Jul 18, 2026Om Roy, Yashar Moshfeghi, Keith Malcolm SmithTime Series GenerationDynamic Graph Learning

    University of Strathclyde

  22. Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs

    Jul 13, 2026Emad Izadifar, Zahed RahmatiTemporal GNNsLink Prediction

    aDepartment of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran

  23. Drift-Aware Temporal Graph Rewiring (DATGR) for Adaptive Semantic Modeling in Biomedical Text

    Jul 9, 2026Bharathwaj Vijayakumar, Sahana K. VaradarajuGraph Structure LearningTemporal Link Prediction

    Institutional Data and Analytics, Rowan University, NJ, USA · Information Resources & Technology, Rowan University, NJ, USA

  24. Physics-Informed Graph Learning with Uncertainty Awareness for Open-Set Domain Generalization in Fault Diagnosis

    Jul 5, 2026Jinfeng Zhu, Shiyu Long, Ye YuanUncertainty QuantificationDomain Generalization

    College of Computer and Information Science, Southwest University, Tiansheng Road, Chongqing, 400715, China

  25. Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space

    Jul 2, 2026Di Wu, Huan Liu, Zhixiang Chi +3Temporal GNNsImplicit Neural Representations

    University of Toronto · National University of Singapore · McMaster University +1

  26. scKDGM: KAN-guided Dynamic Graph Masked Learning for Single-Cell RNA-seq Clustering

    Jun 26, 2026Jun Tang, Pengwei Hu, Sicong Gao +3Graph SSLClustering

    College of Computer and Information Science, Southwest University, Chongqing, China · Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China

  27. Understanding Rollout Error in Graph World Models

    Jun 26, 2026Xinyuan Song, Zekun CaiWorld Model LearningWorld Models

    Emory University, Atlanta, GA, USA · The University of Tokyo, Tokyo, Japan · LocationMind, Tokyo, Japan

  28. Low-rank Updates in Slowly Time-varying Graphs for Spatial-Temporal Signal Interpolation

    Jun 22, 2026Saghar Bagheri, Gene Cheung, Tim Eadie +1Graph Signal ProcessingGraph Structure Learning

    Department of EECS, York University, Toronto, Canada · Dept of ECE, University of Southern California, Los Angeles, CA

  29. PromptDyG: Test-Time Prompt Adaptation on Dynamic Graphs

    Jun 22, 2026Guoguo Ai, Chaoxi Niu, Hui Yan +3Continual Test-Time AdaptationDynamic Graph Learning

    School of Computer Science and Engineering, Nanjing University of Science and Technology, China · School of Computing and Information Systems, Singapore Management University, Singapore · Faculty of Data Science, City University of Macau, Macau, China +3

  30. Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs

    Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFinancial Fraud DetectionQuantum-Inspired ML

    1Infleqtion Australia, Melbourne · 2SoftBank Corp., Japan, Tokyo

  31. DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics

    Jun 20, 2026Jayadratha Gayen, Bradly AliceaTemporal GNNsDynamic Graph Learning

    1IIIT Hyderabad · 2OpenWorm Foundation · 3Orthogonal Research and Education Laboratory

  32. TCHG: Tri-Trust Conditioned Heterogeneous Graph Learning for Reliable Dynamic Trust Prediction

    Jun 15, 2026Bohao Liao, Boyu Deng, Qipeng Song +2Temporal GNNsHeterogeneous GNNs

    School of Telecommunication Engineering, Xidian University, Xi’an, 710071, Shaanxi, China · National Key Laboratory of Multi-domain Data Collaborative Processing and Control, Beijing, 100141, China · School of Cyber Engineering, Xidian University, Xi’an, 710071, Shaanxi, China

  33. Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport

    Jun 8, 2026Md Sadek Hossain Asif, Tanzila Khan, Md. Mosaddek KhanTemporal GNNsGraph Neural Networks

    University of Dhaka

  34. Geodesics of Dynamic Graphs for Regime Change Detection

    Jun 5, 2026William Cappelletti, Étienne Voutaz, Pascal FrossardDynamic Graph LearningChange-Point Detection

    LTS4, EPFL, 1015 Lausanne, Switzerland · Cyber-Defence Campus, Armasuisse, 3604 Thun, Switzerland

  35. Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs

    Jun 4, 2026Kabir MurjaniDynamic Graph LearningFinancial Time Series

    Department of Electrical Engineering Nirma University Ahmedabad, India

  36. HDST-GNN: Heterogeneous Dynamic Spatiotemporal Graph Neural Networks for Multi-Object Tracking in UAV Aerial Imagery

    Jun 4, 2026Phillip JiangHeterogeneous GNNsVisual Object Tracking

    Appsofa LLC

  37. Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models

    Jun 3, 2026Ayushman Raghuvanshi, Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri +1Long-Context ModelingTemporal Link Prediction

    Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore

  38. Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

    Jun 3, 2026Yaqian Zhan, Jialan He, Tianzhu ChenDifferential EvolutionGraph Representation Learning

    College of Computer and Information Science Southwest University Chongqing, China

  39. SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale

    Jun 2, 2026Tong Bai, Zhenglin Wan, Pengfei Zhou +3LLM Agent Skill RetrievalDynamic Graph Learning

    1Fudan University · 2National University of Singapore · 3CFAR, A*STAR

  40. DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs

    May 29, 2026Ashley Hoi-Ting Au, Zikun Zhang, Ligang He +1Communication-Efficient Distributed TrainingFederated Graph Learning

    Department of Computer Science, The University of Warwick · School of Computing and Communications, Lancaster University

  41. From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks

    May 28, 2026Du Yin, Hao Xue, Arian Prabowo +2Intelligent Transportation SystemsForecasting Benchmarks

    University of New South Wales, Sydney, NSW, Australia

  42. Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs

    May 28, 2026Qian Chang, Ciprian Doru Giurcaneanu, Runsong Jia +6Temporal GNNsGraph Representation Learning

    University of Auckland, Auckland, New Zealand · University of Technology Sydney, Sydney, Australia · Central China Normal University, Wuhan, China

  43. Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification

    May 28, 2026Aydin Wells, Francis A. Gatsi, Aaron Striegel +1Protein Structure PredictionGraph Representation Learning

    Department of Computer Science and Engineering, University of Notre Dame, USA

  44. GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

    May 27, 2026Gaspard Michel, Elena V. Epure, Romain Hennequin +2Computational Literary StudiesHeterogeneous GNNs

    Deezer Research, Paris, France · IDIAP, Martigny, Switzerland · Loria, Nancy, France +1

  45. Learning Dynamic Graph Representations through Timespan View Contrasts

    May 26, 2026Yiming Xu, Zhen Peng, Bin Shi +2Graph SSLDynamic Graph Learning

    School of Computer Science and Technology, Xi’an Jiaotong University, P.R. China · School of Distance Education, Xi’an Jiaotong University, P.R. China

  46. SiST-GNN: Simultaneous Spatial-Temporal Message Passing for Dynamic Graph Representation Learning

    May 25, 2026Shubhajit Roy, Anirban DasguptaGraph Representation LearningTemporal Link Prediction

    Department of Computer Science and Engineering Indian Institute of Technology Gandhinagar

  47. Evolving Causal Regulatory Networks (ECR-Net)

    May 24, 2026Govind Vallabhasseri Binish, Abdhul Ahadh, Rano Roy Kavanal +1Structural Causal ModelsCausal Discovery

  48. Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Dynamic Graph LearningUnsupervised Anomaly Detection

    School of Computer Science, University of Bristol, Bristol, UK · School of Engineering Mathematics, University of Bristol, Bristol, UK

  49. Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization

    May 18, 2026Chuansen Peng, Xiaojing ShenRiemannian OptimizationDynamic Graph Learning

    School of Mathematics, Sichuan University, Chengdu, Sichuan, 610064, China

  50. Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities

    May 16, 2026Sha Tao, Jiao Pan, Yu Guo +1Missing-Modality LearningHeterogeneous GNNs

    University of Science and Technology Beijing, Beijing, China

  51. Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix

    May 15, 2026Jinhao Zhang, Kangfei Zhao, Qiuhao Zeng +1Distribution Shift RobustnessTemporal GNNs

    Beijing Institute of Technology · University of Toronto · Hong Kong Baptist University

  52. Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models

    May 13, 2026Haonan Yuan, Qingyun Sun, Junhua Shi +3Domain-Adaptive PretrainingPrompt Tuning

  53. Can Graphs Help Vision SSMs See Better?

    May 11, 2026Dhruv Parikh, Anvitha Ramachandran, Haoyang Fan +3Graph Structure LearningGraph Neural Networks

    USC · UT Austin · DEVCOM ARL Army Research Office, USA

  54. CoMemNet: Contrastive Sampling with Memory Replay Network for Continual Traffic Prediction

    May 7, 2026Mei Wu, Wenchao Weng, Wenxin Su +2Contrastive LearningTraffic Flow Estimation

    College of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China · College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China · School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China

  55. CHE-TKG: Collaborative Historical Evidence and Evolutionary Dynamics Learning for Temporal Knowledge Graph Reasoning

    May 6, 2026Shuai-long Lei, Xiaobin Zhu, Jiarui Liang +3Temporal Link PredictionDynamic Graph Learning

    University of Science and Technology Beijing

  56. Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points

    May 6, 2026Haruka Ezoe, Ryohei HisanoDynamic Graph LearningChange-Point Detection

    Graduate School of Information Science and Technology The University of Tokyo · The Canon Institute for Global Studies

  57. Actionable Real-Time Modeling of Surgical Team Dynamics via Time-Expanded Interaction Graphs

    May 5, 2026Vincenzo Marco De Luca, Antonio Longa, Giovanna Varni +1Clinical Outcome PredictionDynamic Graph Learning

    a University of Trento · b UiT the Arctic University of Norway

  58. Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems

    May 2, 2026Aadarsh Senapati, Neha Kujur, Vivek YelletiDynamic Graph LearningRecommender Systems

    Department of Computer Science and Engineering, SRM University Andhra Pradesh, Mangalagiri, Andhra Pradesh 522502, India

  59. TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

    Apr 29, 2026Wei Yang, Rui Zhong, Zihan Lin +4Dynamic Graph LearningRecommender Systems

    Xiaohongshu Inc. · Beijing, China

  60. Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning

    Apr 27, 2026Xiaoyi Wang, Zhiqiang Wang, Jianqing Liang +4Temporal GNNsGraph Representation Learning

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China. · Department of System Engineering and Engineering Management, City University of Hong Kong, Kowloon 999077, Hong Kong, China. · Key Laboratory of Complex Systems and Data Science of Ministry of Education, Complex Systems Research Center, Shanxi University, Taiyuan 030006, Shanxi, China.