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Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering.
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NAIS: Neural Attentive Item Similarity Model for Recommendation
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Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, and Depeng Jin. 2019 · 2019
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Temporal Relational Ranking for Stock Prediction
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Fast Matrix Factorization with Nonuniform Weights on Missing Data
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Cross-Domain Recommendation via Preference Propagation GraphNet. In CIKM . 2165–2168
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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In AAAI
Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020 · 2020
Closest in time.
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. In SIGIR
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Bilinear Graph Neural Network with Neighbor Interactions. In IJCAI
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