IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems

Author:

Pujol-Perich David1,Suarez-Varela Jose1,Ferriol Miquel1,Xiao Shihan2,Wu Bo2,Cabellos-Aparicio Albert1,Barlet-Ros Pere1

Affiliation:

1. Universitat Politéauca de Catalunya

2. Huawei Technologies Co., Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference15 articles.

1. Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks;wang;ArXiv Preprint,2019

2. Graph Neural Networks in TensorFlow and Keras with Spektral;grattarola;Proc ICML Wksp Graph Representation Learning and Beyond,0

3. Neugraph: Parallel Deep Neural Network Computation on Large Graphs;ma;USENIX Annual Tech Conf,0

4. Must-Read Papers on GNN for Communication Networks;Barcelona Neural Networking Center,0

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