Multi-Sensor Data and Knowledge Fusion--A Proposal for a Terminology Definition S Beddar-Wiesing, M Bieshaar arXiv preprint arXiv:2001.04171, 2020 | 19 | 2020 |
Graph neural networks designed for different graph types: A survey JM Thomas, A Moallemy-Oureh, S Beddar-Wiesing, C Holzhüter arXiv preprint arXiv:2204.03080, 2022 | 16 | 2022 |
Graph neural networks designed for different graph types: A survey J Thomas, A Moallemy-Oureh, S Beddar-Wiesing, CJ Holzhüter | 8 | 2023 |
Graph type expressivity and transformations JM Thomas, S Beddar-Wiesing, A Moallemy-Oureh, R Nather arXiv preprint arXiv:2109.10708 9, 2021, 2021 | 8 | 2021 |
Fdgnn: Fully dynamic graph neural network A Moallemy-Oureh, S Beddar-Wiesing, R Nather, JM Thomas arXiv preprint arXiv:2206.03469, 2022 | 5 | 2022 |
Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of graph neural networks for attributed and dynamic graphs S Beddar-Wiesing, GA D’Inverno, C Graziani, V Lachi, A Moallemy-Oureh, ... Neural Networks, 106213, 2024 | 4 | 2024 |
Student Research Abstract: Using Local Activity Encoding for Dynamic Graph Pooling in Stuctural-Dynamic Graphs S Beddar-Wiesing The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22), April 25--29 …, 2022 | 1 | 2022 |
Using local activity encoding for dynamic graph pooling in stuctural-dynamic graphs: student research abstract S Beddar-Wiesing Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 604-609, 2022 | 1 | 2022 |
A Note on the Modeling Power of Different Graph Types JM Thomas, S Beddar-Wiesing, A Moallemy-Oureh, R Nather arXiv preprint arXiv:2109.10708, 2021 | 1 | 2021 |
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network A Moallemy-Oureh, S Beddar-Wiesing, R Nather, J Thomas Temporal Graph Learning Workshop@ NeurIPS 2023, 2023 | | 2023 |
Time-Aware Robustness of Temporal Graph Neural Networks for Link Prediction M Sälzer, S Beddar-Wiesing 30th International Symposium on Temporal Representation and Reasoning (TIME …, 2023 | | 2023 |
On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs S Beddar-Wiesing, GA D'Inverno, C Graziani, V Lachi, A Moallemy-Oureh 18th International Workshop on Mining and Learning with Graphs, 2022 | | 2022 |
Structural-Dynamic Graph Embedding S Beddar-Wiesing | | |