Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives?
Asan AgibetovPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- link prediction
- collaborative filtering
- bipartite graph
- random walk
- graph mining
- link formation
- recommender systems
- social networks
- tensor factorization
- social network analysis
- low rank
- graph kernels
- missing data
- factorization methods
- negative matrix factorization
- network structure
- complex networks
- nonnegative matrix factorization
- sparse non negative
- user preferences
- low dimensional
- factorization method
- missing values
- markov chain
- implicit feedback
- graph theory
- supervised learning
- high dimensional
- item recommendation
- pairwise
- image segmentation