Temporal GNNs

GNN: Graph Neural Network

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 54

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Do Proactive Agents Need an LLM to Decide When to Act?
May 28, 2026Xiaoze Liu, Ruowang Zhang, Amir H. Abdi +5Temporal GNNs LLM Agents
Purdue University · Microsoft · Michigan State University +1
Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection
May 28, 2026Runang He, Tongya Zheng, Huiling Peng +6Temporal GNNs Test-Time Adaptation
State Key Laboratory of Blockchain and Data Security, Zhejiang University · Zhejiang Provincial Engineering Research Center for Real-Time SmartTech in Urban Security Governance, Hangzhou City University · Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security
Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs
May 28, 2026Qian Chang, Ciprian Doru Giurcaneanu, Runsong Jia +6Temporal GNNs Graph Representation Learning
University of Auckland, Auckland, New Zealand · University of Technology Sydney, Sydney, Australia · Central China Normal University, Wuhan, China
Applications of temporal graph learning for predicting the dynamics of biological systems
May 27, 2026Manuel Dileo, Andrea SottorivaTemporal GNNs Temporal Link Prediction
Center for Computational Biology, Human Technopole Foundation, Milan, Italy
Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
May 27, 2026Yi-Ling Kuo, Hao-Yu Tien, Shih-Yu TsaiTemporal GNNs Temporal Link Prediction
Department of Information Management and Finance, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease
May 27, 2026Leo Y. Li-Han, Ellen L. Larson, Elizabeth B. Habermann +2Temporal GNNs Graph Representation Learning
Department of Surgery, Mayo Clinic, Rochester, MN, USA · Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA · Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA +1
Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
May 25, 2026Derek Regier, Andrew Polyak, Aresh Dadlani +1Temporal GNNs Graph Neural Networks
TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism
May 24, 2026Hongjiang Chen, Pengfei Jiao, Ming Du +4Temporal GNNs Sequence Modeling
Hangzhou Dianzi University, School of Cyberspace, Hangzhou, 310018, China · Tianjin University, College of Intelligence and Computing, Tianjin, 300072, China · State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai, 200127, China
GALAR-TemporalNet v2: Anatomy-Guided Dual-Branch Temporal Classification with Bidirectional Mamba and Dual-Graph GCN for Video Capsule Endoscopy -- after competition results
May 21, 2026Jiye Won, Seangmin Lee, Soon Ki JungEndoscopy Medical Imaging
Kyungpook National University · School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction
May 21, 2026Nouhaila Innan, M. Murali Karthick, Simeon Kandan Sonar +2Temporal GNNs Quantum Machine Learning
1eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · 3Indian Institute of Technology Palakkad (IITPKD), Palakkad 678623, India · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
May 19, 2026Hongjiang Chen, Xin Zheng, Pengfei Jiao +5Disentangled Representation Learning Temporal GNNs
Hangzhou Dianzi University, Hangzhou, China · RMIT University, Melbourne, Australia · Tianjin University, Tianjin, China +1
Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix
May 15, 2026Jinhao Zhang, Kangfei Zhao, Qiuhao Zeng +1Distribution Shift Robustness Temporal GNNs
Beijing Institute of Technology · University of Toronto · Hong Kong Baptist University
Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks
May 13, 2026Rong Liu, Xiaojun Xiao, Zhanqing SuTemporal GNNs Heterogeneous GNNs
Sol Price School of Public Policy, University of Southern California, Los Angeles, USA · Boston University, Boston, USA · Johns Hopkins University, Washington, USA
Static and Dynamic Graph Alignment Network for Temporal Video Grounding
May 1, 2026Zhanjie Hu, Bolin Zhang, Jianhua Wang +5Temporal Video Grounding Temporal GNNs
Faculty of Electronic Engineering and Computer Science, Ningbo University, Ningbo, China · College of Computer Science, Inner Mongolia University, Hohhot, China · College of Computing and Engineering, Hunan Normal University, Changsha, China +4
Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
Apr 27, 2026Xiaoyi Wang, Zhiqiang Wang, Jianqing Liang +4Temporal GNNs Graph 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.
Explaining Temporal Graph Predictions With Shapley Values
Apr 27, 2026Lea-Marie Sussek, Stefan HeindorfTemporal GNNs Shapley Value Attribution
Paderborn University Paderborn, Germany
Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
Apr 22, 2026Georgios Anyfantis, Pere Barlet-RosTemporal GNNs Traffic Forecasting
Department of Computer Architecture Universitat Polit`ecnica de Catalunya Barcelona, Spain
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
Apr 20, 2026Bibek Aryal, Gift Modekwe, Qiugang LuTemporal GNNs Multi-Scale Feature Fusion
Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
Feb 15, 2026Nafiseh Sadat Sajadi, Behnam Bahrak, Mahdi Jafari SiavoshaniTemporal GNNs Link Prediction
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran. · Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran.
CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
Dec 12, 2025Jie Wang, Zheng Yan, Jiahe Lan +2Temporal GNNs Heterogeneous GNNs
State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University · Hangzhou Institute of Technology, Xidian University · Department of Computer Science, Purdue University
What Do Temporal Graph Learning Models Learn?
Oct 10, 2025Abigail J. Hayes, Tobias Schumacher, Markus StrohmaierTemporal GNNs Temporal Link Prediction
University of Mannheim · RWTH Aachen University · GESIS - Leibniz Institute for the Social Sciences +1
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
Aug 20, 2025Jiafeng Xiong, Rizos SakellariouGraph Structure Learning Temporal GNNs
Department of Computer Science, University of Manchester, UK
Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision
May 18, 2025Alexander Panyshev, Dmitry Vinichenko, Oleg Travkin +2Temporal GNNs Temporal Link Prediction
Risk AI Research Lab Moscow Independent Research Institute of Artificial Intelligence Moscow, Russia · Risk AI Research Lab Moscow, Russia · Risk AI Research Lab Applied AI Institute Moscow, Russia
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
Apr 9, 2025Or Feldman, Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb +2Temporal GNNs Temporal Link Prediction
Ben-Gurion University of the Negev, Israel · Purdue University, USA · University of Cambridge, UK

May 28, 2026, cs.CLJ/K move · Enter open · S save

Do Proactive Agents Need an LLM to Decide When to Act?

Xiaoze Liu, Ruowang Zhang, Amir H. Abdi, Michel Galley+4

Purdue University · Microsoft · Michigan State University+1

Temporal GNNs LLM Agents

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Proactive assistants continuously decide when to intervene and what context should support the intervention. Large language model (LLM) pipelines repeatedly interpret activity histories to make these decisions, paying an inference cost even when the assistant remains silent. We show that a small graph model can handle both decisions and improve the language agents it controls. Our key insight is that user activity has a native graph structure: events involve persistent entities whose recurrence connects interactions over time. Triggering and context selection map directly to predictions on event and entity nodes. We introduce a temporal-graph-learning (TGL) controller that learns these predictions jointly and supplies both outputs in one forward pass. The downstream language agent generates suggestions on triggered events using the activity history and scored entities. At 11.13 ms per event on a GPU server, TGL achieves the highest AUCs among nine trigger architectures and gives approximately

4

7\times

trigger-stage speedups over the two single-forward LLM triggers. A shared TGL model improves F1 across all 14 downstream backbones by a mean of 16.7 points. The controller also runs at 13.99 ms on a consumer laptop with an approximately 220 MiB BF16 resident footprint, bringing effective proactive control to on-device deployment.

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