Graph Neural Networks for Graphs with Heterophily: A Survey.
Xin ZhengYixin LiuShirui PanMiao ZhangDi JinPhilip S. YuPublished in: CoRR (2022)
Keyphrases
- neural network
- graph theory
- graph representation
- graph structure
- graph matching
- weighted graph
- graph databases
- graph construction
- graph mining
- labeled graphs
- series parallel
- graph theoretic
- directed graph
- graph search
- graph model
- graph structures
- adjacency matrix
- graph classification
- graph data
- graph theoretical
- graph partitioning
- random graphs
- graph clustering
- pattern recognition
- graph representations
- graph isomorphism
- structural pattern recognition
- graph properties
- graph kernels
- connected dominating set
- inexact graph matching
- subgraph isomorphism
- bipartite graph
- edge weights
- dynamic graph
- disk resident
- spanning tree
- undirected graph
- graph patterns
- graph transformation
- maximum clique
- massive graphs
- maximal cliques
- structured data
- artificial neural networks
- real world graphs
- dense subgraphs
- reachability queries
- evolving graphs
- adjacency graph
- minimum spanning tree
- finding the shortest path
- frequent subgraphs
- maximum common subgraph
- planar graphs
- attributed graphs
- maximum independent set
- average degree
- graph drawing
- directed acyclic
- connected graphs
- social networks
- maximum cardinality
- quasi cliques
- random walk
- back propagation
- pattern mining
- polynomial time complexity
- graph embedding
- spectral decomposition
- link prediction
- web graph
- fully connected
- query graph
- vertex set
- association graph
- degree distribution