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Papers matching “dependency graph” 65

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SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

0

citations
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe

1

citations
Graph neural networks in histopathology: Emerging trends and future directions
2025 Medical Image Analysis article Computer Science AI in cancer detection Open access

Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, Jesper Kers

52

citations
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, Jesper Kers

0

citations
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

0

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu

4

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
On the Relationship between Heterophily and Robustness of Graph Neural Networks.
2021 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

2

citations
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

0

citations
How does Heterophily Impact the Robustness of Graph Neural Networks?
2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

31

citations
Graph Coloring to Reduce Computation Time in Prioritized Planning
2025 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Julius Kahle, Bassam Alrifaee

0

citations
Data-driven decoding of quantum error correcting codes using graph neural networks
2025 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access

Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, +3 more

23

citations
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction
2022 RWTH Publications (RWTH Aachen) article Computer Science Computational Drug Discovery Methods Open access

Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai O. Leonhard, +1 more

3

citations
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen, Zdeněk Hanzálek, Paul Pop

0

citations
Graph Theoretic Approach to Quantum Nonstabilizerness
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yingjian Liu, Albert Gasull, Mengyao Hu, Ruiyun Zhang, Flávio Baccari Júnior, Jordi Tura

0

citations
Latent Diffusion over Dynamic Service Graphs for Uncertainty-Quantified Failure Propagation Prediction
2025 American Journal of Data Science and Analysis article Computer Science Software System Performance and Reliability Open access

J. Richter, Elena Popescu

0

citations
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
2024 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Yunbing Wu, +3 more

1

citations
Isomorphism Testing Parameterized by Genus and Beyond
2021 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Daniel Neuen

4

citations
Are Targeted Messages More Effective?
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Martin Grohe, Eran Rosenbluth

1

citations
Some Might Say All You Need Is Sum
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Grohe

4

citations
Some Might Say All You Need Is Sum
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Toenshoff, Martin Grohe

0

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael T. Schaub, Mirco Tribastone, +1 more

0

citations
Feature Tracking für raumfüllende Strukturen
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Computer Graphics and Visualization Techniques Open access

Andrea Schnorr

0

citations
Advice Complexity bounds for Online Delayed F-Node-, H-Node- and H-Edge-Deletion Problems
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Graph Theory Research Open access

Niklas Berndt, Henri Lotze

1

citations
Dynamic Database Embeddings with FoRWaRD
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

0

citations