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MCNE: An End-to-End Framework for Learning Multiple Conditional Network
  Representations of Social Network

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

27 May 2019
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
ArXivPDFHTML

Papers citing "MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network"

12 / 12 papers shown
Title
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Y. Liu
Ruiming Tang
Defu Lian
Enhong Chen
100
2
0
05 Feb 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Xiang Xu
Hao Wang
Wei Guo
Lefei Zhang
Wanshan Yang
R. Yu
Y. Liu
Defu Lian
Enhong Chen
43
5
0
22 Nov 2024
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
33
0
0
13 Sep 2024
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster
  Sampling for Sequential Recommendation
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Yongqiang Han
Likang Wu
Hao Wang
Guifeng Wang
Mengdi Zhang
Zhi Li
Defu Lian
Enhong Chen
36
24
0
01 Mar 2023
Fast Graph Generation via Spectral Diffusion
Fast Graph Generation via Spectral Diffusion
Tianze Luo
Zhanfeng Mo
Sinno Jialin Pan
DiffM
13
23
0
16 Nov 2022
Information Gain Propagation: a new way to Graph Active Learning with
  Soft Labels
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Wentao Zhang
Yexin Wang
Zhenbang You
Meng Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
AAML
38
19
0
02 Mar 2022
On Provable Benefits of Depth in Training Graph Convolutional Networks
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong
M. Ramezani
M. Mahdavi
27
73
0
28 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
SSL
AI4CE
34
250
0
03 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
37
42
0
24 Aug 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang
Qi Liu
Zhenya Huang
Hao Wang
Chengqiang Lu
Chuanren Liu
Enhong Chen
21
68
0
05 Jun 2021
Estimating Fund-Raising Performance for Start-up Projects from a Market
  Graph Perspective
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective
Likang Wu
Zhi Li
Hongke Zhao
Qi Liu
Enhong Chen
36
16
0
27 May 2021
ASGN: An Active Semi-supervised Graph Neural Network for Molecular
  Property Prediction
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
27
136
0
07 Jul 2020
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