From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “graph classification” 26

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

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
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
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
When Bonds Resist Rotation: Automated Classification and Representation of Atropisomers in the MolBar Identifier
2026 ChemRxiv preprint Chemistry Axial and Atropisomeric Chirality Synthesis Open access

Nils van Staalduinen, Christoph Bannwarth

0

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
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
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access

Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause

0

citations
Graph-Based Feature Extraction on Object-Centric Event Logs
2022 Research Square preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Alessandro Berti, Johannes Günter Herforth, Mahnaz Sadat Qafari, Wil M. P. van der Aalst

6

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
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
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
Weisfeiler and Leman Go Relational
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Pablo Barceló, Miguel Romero Orth

1

citations
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, +1 more

0

citations
WL meet VC
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Floris Geerts, Jan Tönshoff, Martin Grohe

0

citations
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

3

citations
Computing Subset Vertex Covers in $H$-Free Graphs
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Nick Brettell, Jelle J. Oostveen, Sukanya Pandey, Daniël Paulusma

0

citations
Fairness-Aware Network Embeddings: Methods, Applications, and Challenges
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ella Has, Harshith Kumar Yadav, Gaurav Dixit, Mykola Pechenizkiy, Akrati Saxena

0

citations
Distinguishing Commercial from Editorial Content in News
2021 arXiv (Cornell University) preprint Computer Science Text and Document Classification Technologies Open access

Timo Kats, Peter van der Putten, Jasper Schelling

0

citations
Algebraic extinction in acyclic spreading models: explicit counterexamples, genericity and support-checkable repairs
2025 arXiv (Cornell University) preprint Medicine Mathematical and Theoretical Epidemiology and Ecology Models Open access

Daan T. Crommelin, Michel Mandjes

0

citations
TopoEmbedX: A General Framework for Representation Learning on Topological Domains
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Ibrahem ALJabea, Inês Bonacho dos Anjos Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub

0

citations
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Michael T. Schaub

0

citations