Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.
Changping MengS. Chandra MouliBruno RibeiroJennifer NevillePublished in: AAAI (2018)
Keyphrases
- high order
- neural network
- graph mining
- higher order
- graph properties
- graph databases
- graph data
- low order
- graph classification
- maximum weight
- pairwise
- subgraph mining
- prediction accuracy
- graph patterns
- frequent subgraph mining
- labeled graphs
- artificial neural networks
- graph theoretic
- directed graph
- maximum matching
- structured data
- graph model
- weighted graph
- graph structure
- graph theory
- dense subgraphs
- partial differential equations
- pattern discovery
- maximum clique
- bipartite graph
- connected subgraphs
- subgraph isomorphism
- lower order
- query graph
- bayesian logistic regression
- graph mining algorithms
- tensor analysis
- edge weights
- directed acyclic graph
- associative memory
- graph matching
- markov random field
- objective function