Pseudo-Riemannian Graph Convolutional Networks.
Bo XiongShichao ZhuNico PotykaShirui PanChuan ZhouSteffen StaabPublished in: NeurIPS (2022)
Keyphrases
- average degree
- small world
- graph structures
- fully connected
- weighted graph
- graph theory
- edge weights
- graph layout
- overlapping communities
- citation networks
- social networks
- structured data
- graph model
- betweenness centrality
- complex networks
- euclidean metric
- directed graph
- community discovery
- dynamic networks
- network size
- random walk
- directed acyclic graph
- clustering coefficient
- shape analysis
- protein interaction networks
- bipartite graph
- deep learning
- random graphs
- euclidean space
- graph structure
- graph representation
- geodesic distance
- spanning tree
- network architecture