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Learning to Hash with Graph Neural Networks for Recommender Systems

Learning to Hash with Graph Neural Networks for Recommender Systems

4 March 2020
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Xia Hu
ArXivPDFHTML

Papers citing "Learning to Hash with Graph Neural Networks for Recommender Systems"

15 / 15 papers shown
Title
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
Junyu Luo
Yusheng Zhao
Xiao Luo
Zhiping Xiao
Wei Ju
Li Shen
Dacheng Tao
Ming Zhang
DiffM
14
1
0
20 May 2025
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
32
0
0
25 Oct 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
49
5
0
09 Feb 2024
Clustered Embedding Learning for Recommender Systems
Clustered Embedding Learning for Recommender Systems
Yizhou Chen
Guangda Huzhang
Anxiang Zeng
Qingtao Yu
Hui Sun
Hengyi Li
Jingyi Li
Yabo Ni
Han Yu
Zhiming Zhou
29
9
0
03 Feb 2023
Training Graph Neural Networks on Growing Stochastic Graphs
Training Graph Neural Networks on Growing Stochastic Graphs
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
16
8
0
27 Oct 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
41
15
0
14 Sep 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Zhizhi Yu
Di Jin
Jianguo Wei
Ziyang Liu
Yue Shang
Yun Xiao
Jiawei Han
Lingfei Wu
32
4
0
15 Jun 2022
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie Zhang
Chunyan Miao
SSL
29
77
0
07 Jul 2021
Leveraging Tripartite Interaction Information from Live Stream
  E-Commerce for Improving Product Recommendation
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Lei Yu
Zhuoxuan Jiang
Dongdong Chen
Shanshan Feng
Dongsheng Li
Qi Liu
Jinfeng Yi
41
20
0
07 Jun 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Xia Hu
90
130
0
18 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
198
0
28 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Jun Hu
Shengsheng Qian
Quan Fang
Youze Wang
Quan Zhao
Huaiwen Zhang
Changsheng Xu
GNN
31
53
0
27 Jan 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
58
1,177
0
04 Nov 2020
Model Size Reduction Using Frequency Based Double Hashing for
  Recommender Systems
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
Caojin Zhang
Yicun Liu
Yuanpu Xie
S. Ktena
Alykhan Tejani
...
Suvadip Paul
Ikuhiro Ihara
P. Upadhyaya
Ferenc Huszár
Wenzhe Shi
34
53
0
28 Jul 2020
Supervised Discrete Hashing
Fumin Shen
Chunhua Shen
Wei Liu
Heng Tao Shen
56
1,102
0
05 Mar 2015
1