Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
Xin ZhengMiao ZhangChunyang ChenQin ZhangChuan ZhouShirui PanPublished in: CoRR (2023)
Keyphrases
- neural network
- graph representation
- graph theory
- graph matching
- graph construction
- graph structure
- weighted graph
- labeled graphs
- graph databases
- directed graph
- graph structures
- graph theoretic
- graph model
- adjacency matrix
- graph classification
- random graphs
- graph mining
- graph properties
- graph theoretical
- series parallel
- graph clustering
- graph data
- graph partitioning
- undirected graph
- subgraph isomorphism
- bipartite graph
- reachability queries
- dynamic graph
- graph representations
- spanning tree
- graph transformation
- graph search
- structural pattern recognition
- graph kernels
- connected graphs
- adjacency graph
- connected dominating set
- dense subgraphs
- minimum spanning tree
- disk resident
- back propagation
- random walk
- inexact graph matching
- web graph
- edge weights
- quasi cliques
- query graph
- graph isomorphism
- hyper graph
- directed acyclic
- evolving graphs
- maximum independent set
- graph embedding
- community discovery
- maximum cardinality
- finding the shortest path
- maximum common subgraph
- neural network model
- graph drawing
- artificial neural networks
- average degree
- maximal cliques
- strongly connected
- association graph
- maximum clique
- directed acyclic graph
- real world graphs
- proximity graph
- massive graphs
- small world
- structured data
- neighborhood graph
- spectral decomposition
- knn
- topological information
- frequent subgraphs
- bounded treewidth
- polynomial time complexity