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Papers in Advanced Graph Neural Networks 87

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Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Graph Neural Networks Open access

Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savković, Ziqi Huang, Irlán Grangel González, +2 more

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Towards Principled Graph Transformers
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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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

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Weisfeiler-Leman at the margin: When more expressivity matters
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ameya Velingker, Floris Geerts

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Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

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Ellipsoidal embeddings of graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

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Distinguished In Uniform: Self Attention Vs. Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

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Aligning Transformers with Weisfeiler-Leman
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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Are Targeted Messages More Effective?
2024 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks

Martin Grohe, Eran Rosenbluth

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Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
2024 conference-paper Computer Science Advanced Graph Neural Networks Open access

Christopher Morris

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Covered Forest: Fine-grained generalization analysis of graph neural networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ben Finkelshtein, Floris Geerts, Ron Levie

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Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

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Ellipsoidal Embeddings of Graphs
2025 SIAM Journal on Applied Mathematics article Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

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Generalizable Insights for Graph Transformers in Theory and Practice
2025 neural information processing systems conference-paper Computer Science Advanced Graph Neural Networks Open access

Timo Stoll

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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

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Principled Latent Diffusion for Graphs via Laplacian Autoencoders
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antoine Siraudin, Christopher Morris

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Graph Embeddings : Theory meets Practice (Dagstuhl Seminar 22132)
2022 Dagstuhl reports article Computer Science Advanced Graph Neural Networks Open access

Martin Grohe, Stephan Günnemann, Stefanie Jegelka, Christopher Morris

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How Expressive Are Graph Neural Networks in the Presence of Node Identifiers?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

A. Soeteman, Michael Benedikt, Martin Grohe, Balder ten Cate

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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

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Cora Co-Citation
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Graph Neural Networks Open access

Computational Network Science

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Cora Co-Citation
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Graph Neural Networks Open access

Computational Network Science

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Graph neural networks for computational nephrology
2026 Nature Reviews Nephrology article Computer Science Advanced Graph Neural Networks

Michael T. Schaub, Peter Böör

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Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

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On the uniform expressivity of graph neural networks
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth

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Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Martin Grohe

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