GraphSAIL: Graph Structure Aware Incremental Learning for Recommender
Systems

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems

25 August 2020

Ruiming Tang

Papers citing "GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems"

11 / 11 papers shown

Title
AGALE: A Graph-Aware Continual Learning Evaluation Framework Tianqi Zhao Alan Hanjalic Megha Khosla 37 1 0 03 Jun 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 42 1 0 06 Mar 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Yuchen Zhong Guangming Sheng Tianzuo Qin Minjie Wang Quan Gan Chuan Wu AI4CE GNN 29 6 0 29 Nov 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 37 37 0 18 Sep 2023
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
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 33 173 0 17 Oct 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 32 35 0 16 Aug 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 160 226 0 23 Mar 2020