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Neural Graph Matching based Collaborative Filtering

Neural Graph Matching based Collaborative Filtering

10 May 2021
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
ArXivPDFHTML

Papers citing "Neural Graph Matching based Collaborative Filtering"

13 / 13 papers shown
Title
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
Y. Zhang
Yiwen Zhang
Yi-cui Zhang
Lei Sang
Yun-Feng Yang
22
0
0
14 Apr 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
65
0
0
05 Mar 2025
A Survey on Deep Neural Networks in Collaborative Filtering
  Recommendation Systems
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
Pang Li
Shahrul Azman Mohd Noah
Hafiz Mohd Sarim
76
1
0
02 Dec 2024
Multi-domain Recommendation with Embedding Disentangling and Domain
  Alignment
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
Wentao Ning
Xiao Yan
Weiwen Liu
R. Cheng
Rui Zhang
Bo Tang
37
19
0
10 Aug 2023
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Chen Li
Yang Cao
Ye Zhu
Debo Cheng
Chengyuan Li
Yasuhiko Morimoto
GNN
28
12
0
02 May 2023
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
25
1
0
21 Oct 2022
Detecting Arbitrary Order Beneficial Feature Interactions for
  Recommender Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
Yixin Su
Yunxiang Zhao
S. Erfani
Junhao Gan
Rui Zhang
44
24
0
28 Jun 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph
  Similarity Learning
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
Di Jin
Luzhi Wang
Yizhen Zheng
Xiang Li
Fei Jiang
Wei Lin
Shirui Pan
SSL
28
19
0
30 May 2022
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction
  Methods for CTR Prediction
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Fuyuan Lyu
Xing Tang
Huifeng Guo
Ruiming Tang
Xiuqiang He
Rui Zhang
Xue Liu
14
22
0
03 Aug 2021
Graph Pooling via Coarsened Graph Infomax
Graph Pooling via Coarsened Graph Infomax
Yunsheng Pang
Yunxiang Zhao
Dongsheng Li
GNN
27
41
0
04 May 2021
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
236
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,400
0
01 Dec 2016
Incorporating Side Information in Probabilistic Matrix Factorization
  with Gaussian Processes
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Ryan P. Adams
George E. Dahl
Iain Murray
43
87
0
09 Aug 2014
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