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Papers matching “graph classification” 45

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Heterophily-Based Graph Neural Network for Imbalanced Classification
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Mykola Pechenizkiy

0

citations
Heterophily-Based Graph Neural Network for Imbalanced Classification
2024 Studies in computational intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy

0

citations
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
2021 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks Open access

Ruud van Bakel, Teodor Ivanov Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

1

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
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
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
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Shaub, Danai Koutra

1

citations
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jiong Zhu, Mark Heimann, Ben Fish, Michael T. Schaub, Danai Koutra

5

citations
Cross-Domain Graph Level Anomaly Detection
2024 IEEE Transactions on Knowledge and Data Engineering article Computer Science Anomaly Detection Techniques and Applications Open access

Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen

4

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
GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques
2020 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks Open access

Maria Angela Pellegrino, Abdulrahman Altabba, Martina Garofalo, Petar Ristoski, Michael Cochez

19

citations
Mechanistic Interpretability for Transformer-based Time Series Classification
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Matīss Kalnāre, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

0

citations
A 42-Vertex Cubic Vertex-Girth-Regular Graph of Girth 7
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Advanced Graph Theory Research Open access

Weiqi Jiang

0

citations
A 42-Vertex Cubic Vertex-Girth-Regular Graph of Girth 7
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Advanced Graph Theory Research Open access

Weiqi Jiang, Jorik Jooken

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
Nonstabilizerness estimation using graph neural networks
2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Vincenzo Lipardi, Domenica Dibenedetto, Evert van Nieuwenburg, Mark H. M. Winands

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
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
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

0

citations
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

0

citations
Graphs Identified by Logics with Counting
2021 ACM Transactions on Computational Logic article Computer Science Advanced Graph Theory Research Open access

Sandra Kiefer, Pascal Schweitzer, Erkal Selman

5

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
Local, Global And Scale-Dependent Node Roles
2021 conference-paper Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Michael T. Schaub

3

citations
The Effects of Randomness on the Stability of Node Embeddings
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, +3 more

2

citations