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GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Factorization machine (FM) is a prevalent approach to modeling pairwise ...
05/25/2021 ∙ by Zekun Li, et al. ∙
7
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DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Graph embedding, aiming to learn low-dimensional representations (aka. e...
04/07/2021 ∙ by Zeyu Cui, et al. ∙
43
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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 ...
12/12/2020 ∙ by Yuliang Guo, et al. ∙
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Cold-start Sequential Recommendation via Meta Learner
This paper explores meta-learning in sequential recommendation to allevi...
12/10/2020 ∙ by Yujia Zheng, et al. ∙
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Heterogeneous Graph Collaborative Filtering
Graph-based collaborative filtering (CF) algorithms have gained increasi...
11/13/2020 ∙ by Zekun Li, et al. ∙
5
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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...
09/21/2020 ∙ by Yujia Zheng, et al. ∙
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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...
10/12/2019 ∙ by Zekun Li, et al. ∙
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Semi-supervised Compatibility Learning Across Categories for Clothing Matching
Learning the compatibility between fashion items across categories is a ...
07/31/2019 ∙ by Zekun Li, et al. ∙
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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 ...
02/21/2019 ∙ by Zeyu Cui, et al. ∙
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