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K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
v1v2v3v4 (latest)

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
22 March 2020
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
    GNN
ArXiv (abs)PDFHTMLGithub (96★)

Papers citing "K-Core based Temporal Graph Convolutional Network for Dynamic Graphs"

11 / 11 papers shown
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network EmbeddingExpert systems with applications (ESWA), 2025
Suchanuch Piriyasatit
Chaohao Yuan
Ercan Engin Kuruoglu
288
0
0
14 Mar 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Yuanyuan Xu
Wenjie Zhang
Xuemin Lin
Yanzhe Zhang
AI4TS
278
6
0
23 Feb 2025
A Novel Spatiotemporal Coupling Graph Convolutional Network
A Novel Spatiotemporal Coupling Graph Convolutional Network
Fanghui Bi
207
0
0
09 Aug 2024
Spatial-temporal Graph Convolutional Networks with Diversified
  Transformation for Dynamic Graph Representation Learning
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
Ling Wang
Yixiang Huang
Hao Wu
264
2
0
05 Aug 2024
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
246
1
0
28 Nov 2023
Who Should I Engage with At What Time? A Missing Event Aware Temporal
  Graph Neural Network
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Mingyi Liu
Zhiying Tu
Xiaofei Xu
Zhongjie Wang
AI4TS
182
6
0
20 Jan 2023
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Direct Embedding of Temporal Network Edges via Time-Decayed Line GraphsInternational Conference on Learning Representations (ICLR), 2022
Sudhanshu Chanpuriya
Ryan Rossi
Sungchul Kim
Tong Yu
Jane Hoffswell
Nedim Lipka
Shunan Guo
Cameron Musco
AI4TS
324
11
0
30 Sep 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking
CGC: Contrastive Graph Clustering for Community Detection and TrackingThe Web Conference (WWW), 2022
Namyong Park
Ryan Rossi
Eunyee Koh
I. Burhanuddin
Sungchul Kim
F. Du
Nesreen Ahmed
Christos Faloutsos
222
48
0
05 Apr 2022
TEGDetector: A Phishing Detector that Knows Evolving Transaction
  Behaviors
TEGDetector: A Phishing Detector that Knows Evolving Transaction BehaviorsIEEE Transactions on Computational Social Systems (IEEE TCSS), 2021
Haibin Zheng
Minying Ma
Jinyin Chen
Haiyang Xiong
Zhijun Yang
255
13
0
26 Nov 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Dyn-Backdoor: Backdoor Attack on Dynamic Link PredictionIEEE Transactions on Network Science and Engineering (TNSE), 2021
Jinyin Chen
Haiyang Xiong
Haibin Zheng
Jian Zhang
Guodong Jiang
Yi Liu
AAMLSILMAI4CE
245
16
0
08 Oct 2021
ConTIG: Continuous Representation Learning on Temporal Interaction
  Graphs
ConTIG: Continuous Representation Learning on Temporal Interaction GraphsNeural Networks (NN), 2021
Xu Yan
Xiaoliang Fan
Peizhen Yang
Zonghan Wu
Shirui Pan
Longbiao Chen
Yu Zang
Cheng-Yu Wang
388
6
0
27 Sep 2021
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