The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
José Suárez-VarelaMiquel Ferriol GalmésAlbert LopezPaul AlmasanGuillermo BernárdezDavid Pujol-PerichKrzysztof RusekLoïck BonniotChristoph NeumannFrançois SchnitzlerFrançois TaïaniMartin HappChristian MaierJia Lei DuMatthias HerlichPeter DorfingerNick Vincent HainkeStefan VenzJohannes WegenerHenrike WissingBo WuShihan XiaoPere Barlet-RosAlbert Cabellos-AparicioPublished in: Comput. Commun. Rev. (2021)
Keyphrases
- international competition
- network architecture
- ai researchers
- maximum likelihood
- artificial intelligence
- artificial intelligence in education
- average degree
- network design
- expert systems
- neural network
- graph structure
- network structure
- distance learning
- graph structures
- peer to peer
- mobile learning
- graph model
- community discovery
- directed graph
- random walk
- overlapping communities
- network size
- associative memory
- graph representation
- small world
- biologically inspired
- e learning
- structured data
- web based learning
- social networks
- future internet
- recurrent networks
- ai systems
- internet protocol
- clustering coefficient
- serious games
- network infrastructure
- switched networks
- weighted graph
- directed edges
- lifelong learning