Alleviating Video-Length Effect for Micro-video Recommendation

no code implementations • 28 Aug 2023 • Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li

Micro-videos platforms such as TikTok are extremely popular nowadays.

Multi-Task Learning

Robust Preference-Guided Denoising for Graph based Social Recommendation

1 code implementation • 15 Mar 2023 • Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li

Graph Neural Network(GNN) based social recommendation models improve the prediction accuracy of user preference by leveraging GNN in exploiting preference similarity contained in social relations.

Denoising Relation

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

no code implementations • submitted to TOIS 2021 • Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li

In this survey, we conduct a comprehensive review of the literature on graph neural network-based recommender systems.

graph construction Model Optimization +1

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

1 code implementation • 20 Aug 2021 • Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, WeiWei Tu

Tabular data prediction (TDP) is one of the most popular industrial applications, and various methods have been designed to improve the prediction performance.

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering

1 code implementation • NeurIPS 2020 • Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin

Negative sampling approaches are prevalent in implicit collaborative filtering for obtaining negative labels from massive unlabeled data.

Collaborative Filtering