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Papers in Advanced Graph Neural Networks 87

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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
Human-Centric Machine Learning for Temporal Knowledge Graphs: Towards Understanding the European Alternative Fuels Market
2022 Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing conference-paper Computer Science Advanced Graph Neural Networks

Robert Jungnickel, Aymen Gannouni, Anas Abdelrazeq, Ingrid Isenhardt

1

citations
Selecting Walk Schemes for Database Embedding
2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access

Yuval Lev Lubarsky, Jan Tönshof, Martin Grohe, Benny Kimelfeld

1

citations
Stable Tuple Embeddings for Dynamic Databases
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

1

citations
Stable Tuple Embeddings for Dynamic Databases
2023 Proceedings - International Conference on Data Engineering conference-paper Computer Science Advanced Graph Neural Networks

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

1

citations
Edge-Based Graph Component Pooling
2026 Communications in computer and information science conference-paper Computer Science Advanced Graph Neural Networks Open access

T. Snelleman, B. M. Renting, Holger H. Hoos, J. N. van Rijn

1

citations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

1

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
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
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

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
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

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
Probabilistic Graph Rewiring via Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Mathias Niepert

1

citations
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub

1

citations
GraphBench: Next-generation graph learning benchmarking
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

1

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
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access

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

1

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
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
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
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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

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
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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

0

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