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Multi-level Graph Convolutional Networks for Cross-platform Anchor Link
  Prediction

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

2 June 2020
Hongxu Chen
Hongzhi Yin
Xiangguo Sun
Tong Chen
Bogdan Gabrys
Katarzyna Musial
ArXivPDFHTML

Papers citing "Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction"

27 / 27 papers shown
Title
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan
Xingyu Zhao
Hanqing Ma
Wei-Neng Chen
Jianpeng Qi
Yanwei Yu
Junyu Dong
23
1
0
28 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
51
0
0
13 Mar 2025
All in One: Multi-Task Prompting for Graph Neural Networks (Extended
  Abstract)
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)
Xiangguo Sun
Hong Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
27
2
0
11 Mar 2024
RCoCo: Contrastive Collective Link Prediction across Multiplex Network
  in Riemannian Space
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
Li Sun
Mengjie Li
Yong Yang
Xiao Li
Lin Liu
Pengfei Zhang
Haohua Du
26
1
0
04 Mar 2024
Hyperedge Interaction-aware Hypergraph Neural Network
Hyperedge Interaction-aware Hypergraph Neural Network
Rongping Ye
Xiaobing Pei
Haoran Yang
Ruiqi Wang
GNN
17
1
0
28 Jan 2024
Domain Adaptive Graph Classification
Domain Adaptive Graph Classification
Siyang Luo
Ziyi Jiang
Zhenghan Chen
Xiaoxuan Liang
OOD
17
4
0
21 Dec 2023
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous
  Node Features and Interaction Rules
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules
Jiaqi Wen
Bogdan Gabrys
Katarzyna Musial
9
5
0
18 Aug 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
24
3
0
20 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks
All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun
Hongtao Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
AI4CE
32
129
0
04 Jul 2023
Beyond Graph Convolutional Network: An Interpretable
  Regularizer-centered Optimization Framework
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Shiping Wang
Zhihao Wu
Yuhong Chen
Yongzhe Chen
GNN
BDL
26
13
0
11 Jan 2023
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across
  Networks via Regularized Representation Learning
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning
Li Liu
Peng Chen
X. Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
13
13
0
29 Dec 2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and
  Structure via Teacher-Student Distillation
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Cuiying Huo
Di Jin
Yawen Li
Dongxiao He
Yubin Yang
Lingfei Wu
11
35
0
24 Dec 2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Yu Yang
Hongzhi Yin
Jiannong Cao
Tong Chen
Quoc Viet Hung Nguyen
Xiaofang Zhou
Lei Chen
6
12
0
01 Jul 2022
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential
  Recommendation
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Lei Guo
Jinyu Zhang
Tong Chen
Xinhua Wang
Hongzhi Yin
13
43
0
16 Jun 2022
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching
LIREN YU
Jiaming Xu
Xiaojun Lin
24
2
0
26 May 2022
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable
  Propagative and Composable Nature
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
Cuiying Huo
Di Jin
Chundong Liang
Dongxiao He
Tie Qiu
Lingfei Wu
32
13
0
25 May 2022
Spatial-Temporal Meta-path Guided Explainable Crime Prediction
Spatial-Temporal Meta-path Guided Explainable Crime Prediction
Yuting Sun
Tong Chen
Hongzhi Yin
21
8
0
04 May 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
108
0
04 Apr 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start
  Recommendations
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang
Changyu Li
Ivor W. Tsang
Hui Xu
Lixin Duan
Hongzhi Yin
Wen Li
Jie Shao
21
9
0
01 Apr 2022
Decentralized Collaborative Learning Framework for Next POI
  Recommendation
Decentralized Collaborative Learning Framework for Next POI Recommendation
Jing Long
Tong Chen
Nguyen Quoc Viet Hung
Hongzhi Yin
25
61
0
30 Mar 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and
  Their Dynamics: A Comprehensive Survey
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
Jiaqi Wen
Bogdan Gabrys
Katarzyna Musial
AI4CE
37
29
0
15 Feb 2022
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
Jian Liang
Fangrui Lv
Di Liu
Zehui Dai
Xu Tian
Shuang Li
Fei-Yue Wang
Han Li
26
0
0
06 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
Bowen Hao
Hongzhi Yin
Jing Zhang
Cuiping Li
Hong Chen
27
22
0
04 Dec 2021
Towards Improving Embedding Based Models of Social Network Alignment via
  Pseudo Anchors
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan
Li Liu
Xin Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
16
7
0
22 Nov 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
31
538
0
14 Jun 2021
Multiplex Bipartite Network Embedding using Dual Hypergraph
  Convolutional Networks
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue
Luwei Yang
Vaibhav Rajan
Wen Jiang
Yi Wei
Yu Lin
GNN
13
46
0
12 Feb 2021
High-Order Relation Construction and Mining for Graph Matching
High-Order Relation Construction and Mining for Graph Matching
Hui Xu
Liyao Xiang
Youmin Le
Xiaoying Gan
Yuting Jia
Luoyi Fu
Xinbing Wang
19
1
0
09 Oct 2020
1