ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.06636
  4. Cited By
An Attention-based Collaboration Framework for Multi-View Network
  Representation Learning

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

19 September 2017
Meng Qu
Jian Tang
Jingbo Shang
Xiang Ren
Ming Zhang
Jiawei Han
    GNN
ArXivPDFHTML

Papers citing "An Attention-based Collaboration Framework for Multi-View Network Representation Learning"

14 / 14 papers shown
Title
Collaborative Team Recognition: A Core Plus Extension Structure
Collaborative Team Recognition: A Core Plus Extension Structure
Shuo Yu
Fayez Alqahtani
Amr M. Tolba
Ivan Lee
Tao Jia
Feng Xia
25
2
0
07 Jun 2024
Incomplete Multi-view Clustering via Prototype-based Imputation
Incomplete Multi-view Clustering via Prototype-based Imputation
Hao Li
Yunfan Li
Mouxing Yang
Peng Hu
Dezhong Peng
Xiaocui Peng
20
32
0
26 Jan 2023
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Sein Kim
Namkyeong Lee
Junseok Lee
Dongmin Hyun
Chanyoung Park
33
24
0
28 Nov 2022
Learning with Multigraph Convolutional Filters
Learning with Multigraph Convolutional Filters
Landon Butler
Alejandro Parada-Mayorga
Alejandro Ribeiro
40
6
0
28 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
43
100
0
09 Oct 2022
High-order Multi-view Clustering for Generic Data
High-order Multi-view Clustering for Generic Data
Erlin Pan
Zhao Kang
40
37
0
22 Sep 2022
Effective Urban Region Representation Learning Using Heterogeneous Urban
  Graph Attention Network (HUGAT)
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Namwoo Kim
Yoonjin Yoon
AI4TS
26
9
0
18 Feb 2022
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
44
22
0
20 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
41
27
0
08 Sep 2021
Deep Contrastive Multiview Network Embedding
Deep Contrastive Multiview Network Embedding
Mengqi Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Liang Wang
30
1
0
16 Aug 2021
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
98
164
0
15 Feb 2021
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
52
57
0
01 Apr 2020
Unsupervised Attributed Multiplex Network Embedding
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
32
249
0
15 Nov 2019
Neural Compatibility Modeling with Attentive Knowledge Distillation
Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song
Fuli Feng
Xianjing Han
Xin Yang
Wei Liu
Liqiang Nie
45
144
0
17 Apr 2018
1