Convolutional Hypercomplex Embeddings for Link Prediction.
Caglar DemirDiego MoussallemStefan HeindorfAxel-Cyrille Ngonga NgomoPublished in: CoRR (2021)
Keyphrases
- link prediction
- social networks
- fourier transform
- random walk
- social network analysis
- network analysis
- bipartite graph
- graph mining
- multi relational
- vector space
- network structure
- low dimensional
- complex networks
- supervised learning
- topological features
- entity resolution
- community detection
- link structure
- dimensionality reduction
- collaborative filtering
- proximity measures
- manifold learning
- image representation
- heterogeneous networks
- distance measure
- markov chain
- collective classification
- missing links
- data mining
- high dimensional data
- feature space
- bipartite networks
- class discrimination
- factor graph model