Multi-depth Graph Convolutional Networks for Fake News Detection.
Guoyong HuYe DingShuhan QiXuan WangQing LiaoPublished in: NLPCC (1) (2019)
Keyphrases
- false alarms
- social networks
- social media
- small world
- detection method
- automatic detection
- fully connected
- dynamic networks
- detection algorithm
- random walk
- object detection
- directed graph
- news articles
- average degree
- graph theory
- graph mining algorithms
- graph theoretic
- graph representation
- weighted graph
- depth information
- false positives
- bipartite graph
- graph mining
- undirected graph
- graph partitioning
- complex networks
- network structure
- edge weights
- heterogeneous networks
- depth map
- information extraction
- clustering coefficient
- keywords
- neural network