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