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PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image
In this paper, a real-time method called PoP-Net is proposed to predict ...
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Cold-start Sequential Recommendation via Meta Learner
This paper explores meta-learning in sequential recommendation to allevi...
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Heterogeneous Graph Collaborative Filtering
Graph-based collaborative filtering (CF) algorithms have gained increasi...
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DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
The task of session-based recommendation is to predict user actions base...
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Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Click-through rate (CTR) prediction is an essential task in web applicat...
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Semi-supervised Compatibility Learning Across Categories for Clothing Matching
Learning the compatibility between fashion items across categories is a ...
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Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks
With the rapid development of fashion market, the customers' demands of ...
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Zekun Li
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