HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification.
Chonghao ChenFei CaiXuejun HuWanyu ChenHonghui ChenPublished in: Inf. Process. Manag. (2021)
Keyphrases
- neural network
- pattern recognition
- multi layer
- knowledge base
- random walk
- graph structure
- neural network is trained
- back propagation
- graphical representation
- artificial neural networks
- graph theory
- bipartite graph
- reasoning systems
- graph theoretic
- spanning tree
- directed acyclic graph
- fuzzy logic
- graph matching
- graph representation
- activation function
- model based diagnosis
- model checking
- clustering algorithm
- verification method
- reasoning process
- hierarchical clustering
- reasoning tasks
- graph data
- automated reasoning
- reasoning mechanisms
- knn
- heterogeneous networks
- fuzzy artmap
- genetic algorithm
- probabilistic reasoning
- undirected graph
- graph mining
- artificial intelligence
- weighted graph
- associative memory
- prediction model
- neural network model
- directed graph
- connected components
- expert systems