Graph convolutional networks for exploring authorship hypotheses.
Tom LippincottPublished in: LaTeCH@NAACL-HLT (2019)
Keyphrases
- citation networks
- graph theory
- fully connected
- average degree
- social networks
- edge weights
- small world
- structured data
- complex networks
- community discovery
- graph structures
- deep learning
- directed graph
- overlapping communities
- highly connected
- graph mining
- heterogeneous networks
- network design
- social graphs
- real world graphs
- dynamic networks
- directed edges
- heterogeneous social networks
- graph representation
- spanning tree
- graph databases
- network architecture
- directed acyclic graph
- network analysis
- random walk
- network structure
- biological networks
- bipartite graph
- graph structure
- neural network
- image segmentation
- computer networks
- community structure
- sparse coding
- degree distribution
- graph based algorithm
- weighted graph
- network size
- graph clustering
- graphical representation