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: CoRR (2021)
Keyphrases
- network architecture
- artificial intelligence
- fully connected
- ai researchers
- international competition
- graph structure
- small world
- maximum likelihood
- graph structures
- network design
- e learning
- average degree
- recurrent networks
- community discovery
- network infrastructure
- graph layout
- artificial intelligence in education
- graph representation
- graph model
- distance learning
- network externalities
- social networks
- neural network
- graph theory
- overlapping communities
- edge weights
- network size
- educational technology
- expert systems
- intelligent systems
- internet protocol
- directed graph
- st century
- complex networks
- network structure
- wireless networks
- ai systems
- future internet
- spiking neurons
- computer networks
- community structure
- peer to peer
- knowledge representation
- information and communication technologies
- weighted graph