Causal Incremental Graph Convolution for Recommender System Retraining

16 August 2021

Papers citing "Causal Incremental Graph Convolution for Recommender System Retraining"

9 / 9 papers shown

Title
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Zhiqiang Zhang Kun Kuang Yan Zhang Yulin Kang Jun Zhou 27 3 0 11 Mar 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 32 5 0 09 Feb 2024
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 19 13 0 18 Jan 2023
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 172 174 0 02 Mar 2021
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions James McInerney B. Brost Praveen Chandar Rishabh Mehrotra Ben Carterette BDL CML OffRL 107 55 0 25 Jul 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 142 290 0 14 Mar 2020
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 161 312 0 30 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017