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GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques2020 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
19citations -
The Effects of Randomness on the Stability of Node Embeddings2021 Communications in computer and information science conference-paper Computer Science Advanced Graph Neural Networks Open access
Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier
16citations -
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh
8citations -
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?2023 ACM Web Conference (WWW) conference-paper Computer Science Advanced Graph Neural Networks Open access
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura
3citations -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case2023 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks
Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savković, Ziqi Huang, Irlán Grangel González, +2 more
3citations -
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks
Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub
2citations