Scalable and Efficient Full-Graph GNN Training for Large Graphs.
Xinchen WanKaiqiang XuXudong LiaoYilun JinKai ChenXin JinPublished in: Proc. ACM Manag. Data (2023)
Keyphrases
- graph representation
- graph theoretic
- directed graph
- graph structure
- graph theory
- weighted graph
- graph mining
- graph model
- graph matching
- random graphs
- highly scalable
- series parallel
- graph clustering
- graph data
- graph transformation
- graph databases
- graph search
- graph structures
- graph theoretical
- graph construction
- graph classification
- graph isomorphism
- training set
- spanning tree
- structural pattern recognition
- maximum common subgraph
- memory efficient
- graph embedding
- undirected graph
- maximal cliques
- graph patterns
- labeled graphs
- graph kernels
- graph drawing
- structured data
- proximity search
- directed acyclic
- finding the shortest path
- semi supervised