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Papers matching “graph learning” 380

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What Do Temporal Graph Learning Models Learn?
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Abigail J. Hayes, Tobias Schumacher, Markus Strohmaier

0

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
TokenJSP: Graph Representation Learning Datasets for Job Shop Scheduling
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Scheduling and Optimization Algorithms Open access

Ziya Valiyev, Alexander Nasuta

0

citations
TokenJSP: Graph Representation Learning Datasets for Job Shop Scheduling
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Scheduling and Optimization Algorithms Open access

Ziya Valiyev, Alexander Nasuta

0

citations
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael P. Schaub, +4 more

0

citations
Graph neural network-based multi-agent reinforcement learning for active voltage control: Performance and topology robustness
2026 Energy and AI article Engineering Optimal Power Flow Distribution Open access

Chijioke Eze, Chetan Prakash, Antonello Monti

1

citations
Future Directions in the Theory of Graph Machine Learning
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, +3 more

0

citations
DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning
2023 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

91

citations
Graph Learning with 1D Convolutions on Random Walks.
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

5

citations
Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering
2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Artur M. Schweidtmann, Andrea Anna König, Manuel Dahmen, Martin Grohe, Alexander Mitsos

0

citations
Graph Neural Network-Based Multi-Agent Reinforcement Learning for Active Voltage Control: Performance and Topology Robustness
2025 SSRN Electronic Journal preprint Engineering Optimal Power Flow Distribution Open access

Chijioke Eze, Chetan Prakash, Antonello Monti

0

citations
Temporal Heterogeneous Graph Pretraining for Relational Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Yixin Peng, 金儿, Diego Collarana, Stefan Decker

0

citations
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?
2022 arXiv (Cornell University) preprint Neuroscience Autism Spectrum Disorder Research Open access

Christian P Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl

0

citations
Graph machine learning for design of high‐octane fuels
2022 AIChE Journal article Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, Karl Alexander Heufer, +3 more

36

citations
Graph Machine Learning for Design of High-Octane Fuels
2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, +3 more

0

citations
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
2023 ACM Transactions on Information Systems article Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Zhaochun Ren, James Ko

98

citations
Distributed Unsupervised Learning for Combinatorial User Assignment in mmWave Cell-Free Massive MIMO Using Graph Neural Networks
2026 IEEE Transactions on Wireless Communications article Engineering Advanced MIMO Systems Optimization Open access

Bile Peng, Bihan Guo, Karl-Ludwig Besser, Luca Kunz, Zhengyang Li, Ramprasad Raghunath, +4 more

0

citations
Graph-based learning and read-out of nanopore translocation event signals
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Engineering Nanopore and Nanochannel Transport Studies Open access

Mayukh Kansari, Tobias Ensslen, Maria Fyta

0

citations
DrugEx v3: Scaffold-Constrained Drug Design with Graph Transformer-based Reinforcement Learning
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

11

citations
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
Towards automated self-supervised learning for truly unsupervised graph anomaly detection
2025 Data Mining and Knowledge Discovery article Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

1

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations
Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering
2024 IEEE Access article Social Sciences Crime, Illicit Activities, and Governance Open access

Md. Rezaul Karim, Felix Hermsen, Sisay Adugna Chala, Paola de Perthuis, Avikarsha Mandal

35

citations
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction
2025 ACM Transactions on Information Systems article Computer Science Topic Modeling Open access

Zihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

3

citations