A recurrent graph neural network for inductive representation learning on dynamic graphs.
Hong-Yu YaoChun-Yang ZhangZhiliang YaoC. L. Philip ChenJunfeng HuPublished in: Pattern Recognit. (2024)
Keyphrases
- neural network
- graph representation
- inductive learning
- inductive inference
- learning algorithm
- learning process
- graph theoretic
- directed graph
- graph matching
- reinforcement learning
- feed forward
- graph theory
- graph properties
- graph theoretical
- feedforward neural networks
- concept learning
- random walk
- graph structure
- spanning tree
- bipartite graph
- neural nets
- structured data
- graph clustering
- fully connected
- supervised learning
- topological information
- recurrent networks
- machine learning