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Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
We devise an unsupervised learning model called HAI (Heterogeneous graph Attention InfoMax) which aggregates attention mechanism and mutual information for institution recommendation.
Matching Algorithms: Fundamentals, Applications and Challenges
Based on the preference list access, matching problems are divided into two categories, i. e., explicit matching and implicit matching.
Information Retrieval
Recommendation Systems
Social and Information Networks
