Silvia Beddar-Wiesing

According to our database, Silvia Beddar-Wiesing authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks.

Silvia Beddar-Wiesing, Alice Moallemy-Oureh

CoRR, August, 2025

Absolute Evaluation Measures for Machine Learning: A Survey.

Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Marie Kempkes, Josephine M. Thomas

CoRR, July, 2025

2024

Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.

Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas

Neural Networks, 2024

Fused Gromov-Wasserstein Distance for Heterogeneous and Temporal Graphs.

Silvia Beddar-Wiesing, Dominik Köhler

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Graph Neural Networks Designed for Different Graph Types: A Survey.

Josephine Maria Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter

Trans. Mach. Learn. Res., 2023

Time-Aware Robustness of Temporal Graph Neural Networks for Link Prediction (Extended Abstract).

Marco Sälzer, Silvia Beddar-Wiesing

Proceedings of the 30th International Symposium on Temporal Representation and Reasoning, 2023

2022

FDGNN: Fully Dynamic Graph Neural Network.

Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Rüdiger Nather, Josephine M. Thomas

CoRR, 2022

Using local activity encoding for dynamic graph pooling in stuctural-dynamic graphs: student research abstract.

Silvia Beddar-Wiesing

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021

Graph type expressivity and transformations.

Josephine M. Thomas, Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Rüdiger Nather

CoRR, 2021

2020

Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition.

Silvia Beddar-Wiesing, Maarten Bieshaar

CoRR, 2020