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Deep Temporal Graph Clustering

Deep Temporal Graph Clustering

18 May 2023
Meng Liu
Yue Liu
K. Liang
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
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Papers citing "Deep Temporal Graph Clustering"

25 / 25 papers shown
Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
19
0
0
07 May 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
39
0
0
02 May 2025
Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering
Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering
Renda Han
Guangzhen Yao
W. Zhang
Y. Li
Wen Xin
Huajie Lei
Mengfei Li
Z. Zhang
Chengze Du
Yahe Tian
45
0
0
02 Apr 2025
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral
  Clustering Perspective
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Yujie Mo
Zhihe Lu
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
72
1
0
01 Dec 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
30
1
0
02 Nov 2024
Federated Temporal Graph Clustering
Federated Temporal Graph Clustering
Yang Liu
Z. Zhou
Xianghong Xu
Q. Li
FedML
62
0
0
16 Oct 2024
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li
Shiyin Tan
Ying Zhang
Ming Jin
Shirui Pan
Manabu Okumura
Renhe Jiang
Mamba
14
2
0
13 Aug 2024
Self-Supervised Contrastive Graph Clustering Network via Structural
  Information Fusion
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
Xiaoyang Ji
Yuchen Zhou
Haofu Yang
Shiyue Xu
Jiahao Li
SSL
25
0
0
08 Aug 2024
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional
  Network for Complex Land Cover Classification Using Hyperspectral Images
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images
Renxiang Guan
Zihao Li
Chujia Song
Guo Yu
Xianju Li
Ruyi Feng
22
1
0
01 Apr 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
36
4
0
25 Feb 2024
A General Benchmark Framework is Dynamic Graph Neural Network Need
A General Benchmark Framework is Dynamic Graph Neural Network Need
Yusen Zhang
8
0
0
12 Jan 2024
One-Step Late Fusion Multi-view Clustering with Compressed Subspace
One-Step Late Fusion Multi-view Clustering with Compressed Subspace
Qiyuan Ou
Pei Zhang
Sihang Zhou
En Zhu
8
1
0
03 Jan 2024
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
11
5
0
22 Dec 2023
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event
  Classification
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification
Meng Liu
K. Liang
Dayu Hu
Hao Yu
Yue Liu
Lingyuan Meng
Wenxuan Tu
Sihang Zhou
Xinwang Liu
16
24
0
21 Sep 2023
Efficient Multi-View Graph Clustering with Local and Global Structure
  Preservation
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Yi Wen
Suyuan Liu
Xinhang Wan
Siwei Wang
K. Liang
Xinwang Liu
Xihong Yang
Pei Zhang
21
18
0
31 Aug 2023
Scalable Incomplete Multi-View Clustering with Structure Alignment
Scalable Incomplete Multi-View Clustering with Structure Alignment
Yi Wen
Siwei Wang
K. Liang
Weixuan Liang
Xinhang Wan
Xinwang Liu
Suyuan Liu
Jiyuan Liu
En Zhu
29
13
0
31 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number
Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu
K. Liang
Jun-Xiong Xia
Xihong Yang
Sihang Zhou
Meng Liu
Xinwang Liu
Stan Z. Li
GNN
32
26
0
13 Aug 2023
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
Meng Liu
K. Liang
Yue Liu
Siwei Wang
Sihang Zhou
Xinwang Liu
AI4CE
6
4
0
08 Jun 2023
One-step Multi-view Clustering with Diverse Representation
One-step Multi-view Clustering with Diverse Representation
Xinhang Wan
Jiyuan Liu
Xinwang Liu
Siwei Wang
Yi Wen
Tianjiao Wan
Li Shen
En Zhu
17
32
0
08 Jun 2023
Fast Continual Multi-View Clustering with Incomplete Views
Fast Continual Multi-View Clustering with Incomplete Views
Xinhang Wan
Bin Xiao
Xinwang Liu
Jiyuan Liu
Weixuan Liang
En Zhu
27
19
0
04 Jun 2023
Dink-Net: Neural Clustering on Large Graphs
Dink-Net: Neural Clustering on Large Graphs
Yue Liu
K. Liang
Jun-Xiong Xia
Sihang Zhou
Xihong Yang
Xinwang Liu
Stan Z. Li
GNN
24
52
0
28 May 2023
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot
  Relation Reasoning
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
Lingyuan Meng
K. Liang
Bin Xiao
Sihang Zhou
Yue Liu
Meng Liu
Xihong Yang
Xinwang Liu
10
20
0
20 Apr 2023
Self-Supervised Temporal Graph learning with Temporal and Structural
  Intensity Alignment
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
Meng Liu
K. Liang
Bin Xiao
Wenxuan Tu
Sihang Zhou
Xihong Yang
Xinwang Liu
Yue Liu
8
68
0
15 Feb 2023
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Yue Liu
Jun-Xiong Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
19
15
0
23 Nov 2022
Inductive Representation Learning in Temporal Networks via Mining
  Neighborhood and Community Influences
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu
Yong Liu
AI4TS
79
32
0
01 Oct 2021
1