Benchmarking graph neural networks for internet routing data

Author:

Giakatos Dimitrios P.1,Kostoglou Sofia1,Sermpezis Pavlos1,Vakali Athena1

Affiliation:

1. Aristotle University of Thessaloniki, Greece

Funder

European High-Performance Computing Joint Undertaking

Operational Program Competitiveness, Entrepreneurship and Innovation under the call RESEARCH-CREATE-INNOVATE (NSRF)

Publisher

ACM

Reference33 articles.

1. 2022. Benchmarking GNNs for Internet routing data - Public repository. Available at https://github.com/dpgiakatos/gnn-internet-data. 2022. Benchmarking GNNs for Internet routing data - Public repository. Available at https://github.com/dpgiakatos/gnn-internet-data.

2. 2022. Deep graph library (DGL). Available at https://www.dgl.ai/. 2022. Deep graph library (DGL). Available at https://www.dgl.ai/.

3. 2022. PyTorch Geometric library (PyG). Available at https://pytorch-geometric.readthedocs.io/en/latest/. 2022. PyTorch Geometric library (PyG). Available at https://pytorch-geometric.readthedocs.io/en/latest/.

4. CAIDA. 2022. AS-rank dataset. Available at https://asrank.caida.org/. CAIDA. 2022. AS-rank dataset. Available at https://asrank.caida.org/.

5. CAIDA. 2022. AS-relationships dataset. Available at https://publicdata.caida.org/datasets/as-relationships/. CAIDA. 2022. AS-relationships dataset. Available at https://publicdata.caida.org/datasets/as-relationships/.

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