Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach.
Andrea Giuseppe Di FrancescoFrancesco CasoMaria Sofia BucarelliFabrizio SilvestriPublished in: CoRR (2024)
Keyphrases
- link prediction
- random walk
- bipartite graph
- neural network
- graph mining
- link formation
- social networks
- social network analysis
- network analysis
- graph kernels
- multi relational
- proximity measures
- network structure
- directed graph
- topological features
- complex networks
- graph theory
- graph data
- community detection
- collaborative filtering
- heterogeneous networks
- markov chain
- supervised learning
- graph model
- pairwise
- missing links
- link structure
- structured data
- bipartite networks
- data mining
- training data
- learning process
- entity resolution
- dimensionality reduction
- heterogeneous information networks