AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning.
Yongqi ZhangZhanke ZhouQuanming YaoXiaowen ChuBo HanPublished in: KDD (2023)
Keyphrases
- learning systems
- knowledge acquisition
- graph representation
- prior knowledge
- knowledge representation
- graph theory
- graph structure
- learning algorithm
- procedural knowledge
- graph model
- background knowledge
- knowledge base
- random walk
- graphical representation
- learning tasks
- directed acyclic graph
- online learning
- learning process
- knowledge transfer
- reinforcement learning
- qualitative physics
- learned knowledge
- learning mechanisms
- organizational learning
- adaptive learning
- bipartite graph
- graph matching
- weighted graph
- connected components
- knowledge management
- knowledge acquired
- reasoning processes
- supervised learning
- active learning
- neural network
- subject matter
- reasoning process
- knowledge level
- directed graph
- solving problems
- human experts
- probabilistic reasoning
- spanning tree
- knowledge structures
- expert systems