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ORCIDSilvia Beddar-Wiesing
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2020 – today
- 2024
[j2]Silvia Beddar-Wiesing
, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas:
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs. Neural Networks 173: 106213 (2024)- 2023
- [j1]Josephine Maria Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter:
Graph Neural Networks Designed for Different Graph Types: A Survey. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Marco Sälzer, Silvia Beddar-Wiesing:
Time-Aware Robustness of Temporal Graph Neural Networks for Link Prediction (Extended Abstract). TIME 2023: 19:1-19:3 - 2022
- [c1]Silvia Beddar-Wiesing:
Using local activity encoding for dynamic graph pooling in stuctural-dynamic graphs: student research abstract. SAC 2022: 604-609 - [i5]Josephine M. Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter:
Graph Neural Networks Designed for Different Graph Types: A Survey. CoRR abs/2204.03080 (2022) - [i4]Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Rüdiger Nather, Josephine M. Thomas:
FDGNN: Fully Dynamic Graph Neural Network. CoRR abs/2206.03469 (2022) - [i3]Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas:
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. CoRR abs/2210.03990 (2022) - 2021
- [i2]Josephine M. Thomas, Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Rüdiger Nather:
Graph type expressivity and transformations. CoRR abs/2109.10708 (2021) - 2020
- [i1]Silvia Beddar-Wiesing, Maarten Bieshaar:
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition. CoRR abs/2001.04171 (2020)
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