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Found 7 papers, 2 papers with code
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
A heterogeneous information network (HIN) has as vertices objects of different types and as edges the relations between objects, which are also of various types.
Fast and Secure Distributed Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.
A General Early-Stopping Module for Crowdsourced Ranking
The number of microtasks depends on the budget allocated for the problem.
Heterogeneous Information Network Embedding for Meta Path based Proximity
A network embedding is a representation of a large graph in a low-dimensional space, where vertices are modeled as vectors.
Location Recommendation in Location-based Social Networks using User Check-in Data
The proposed algorithms outperform traditional recommendation algorithms and other approaches that try to exploit LBSN information.
