M. Sc. Silvia Beddar-Wiesing
Graphs in Artificial Intelligence and Neural Networks (GAIN)
2023[ to top ]
- Time-aware Robustness of Temporal Graph Neural Networks for Link Prediction. . In International Symposium on Temporal Representation and Reasoning (TIME). 2023.
- Graph Neural Networks Designed for Different Graph Types: A Survey. . In Transactions on Machine Learning Research. 2023.
2022[ to top ]
- Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. . In arXiv e-prints, bl arXiv:2210.03990. 2022.
- Student Research Abstract: Using Local Activity Encoding for Dynamic Graph Pooling in Stuctural-Dynamic Graphs. . In ACM/SIGAPP Symposium on Applied Computing (SAC), bll 604–609. ACM, 2022.
2021[ to top ]
- A Note on the Modeling Power of Different Graph Types. . In arXiv e-prints, bl arXiv:2109.10708. 2021.