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Module-based graph pooling for graph classification Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:  Deng, Sucheng;  Yang, Geping;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Can; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date:2024/06/05
Graph Classification  Graph Neural Network  Graph Pooling  
QFINCH: Quick hierarchical clustering using k-means and first neighbor relations Conference paper
Zhang, Jiajun, Yang, Geping, Yang, Yiyang, Lu, Juan. QFINCH: Quick hierarchical clustering using k-means and first neighbor relations[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1992-1997.
Authors:  Zhang, Jiajun;  Yang, Geping;  Yang, Yiyang;  Lu, Juan
Favorite | TC[Scopus]:0 | Submit date:2024/08/05
Data Mining  First Neighbor  Hierarchical Clustering  K-means  
Landmark-based k-factorization multi-view subspace clustering Journal article
Fang, Yuan, Yang, Geping, Chen, Xiang, Gong, Zhiguo, Yang, Yiyang, Chen, Can, Hao, Zhifeng. Landmark-based k-factorization multi-view subspace clustering[J]. Information Sciences, 2024, 667, 120480.
Authors:  Fang, Yuan;  Yang, Geping;  Chen, Xiang;  Gong, Zhiguo;  Yang, Yiyang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0/0 | Submit date:2024/05/16
Graph Alignment  K-factorization  Landmarks  Large-scale  Multi-view Clustering  Subspace Clustering  
UP-DPC: Ultra-scalable parallel density peak clustering Journal article
Ma, Luyao, Yang, Geping, Yang, Yiyang, Chen, Xiang, Lu, Juan, Gong, Zhiguo, Hao, Zhifeng. UP-DPC: Ultra-scalable parallel density peak clustering[J]. Information Sciences, 2024, 660, 120114.
Authors:  Ma, Luyao;  Yang, Geping;  Yang, Yiyang;  Chen, Xiang;  Lu, Juan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0/0 | Submit date:2024/04/02
Clustering  Density Peak Estimation  Large-scale  Parallel Computation  Scalability  
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering Journal article
Yang,Geping, Deng,Sucheng, Chen,Can, Yang,Yiyang, Gong,Zhiguo, Chen,Xiang, Hao,Zhifeng. LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10), 10035 – 10047.
Authors:  Yang,Geping;  Deng,Sucheng;  Chen,Can;  Yang,Yiyang;  Gong,Zhiguo; et al.
Favorite | TC[WOS]:6 TC[Scopus]:4  IF:8.9/8.8 | Submit date:2023/08/03
Spectral Clustering  Data Quantization  Scalability  Ensemble Clustering  
FastDEC: Clustering by Fast Dominance Estimation Conference paper
Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao. FastDEC: Clustering by Fast Dominance Estimation[C]. Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:Springer Science and Business Media Deutschland GmbH, 2023, 138-156.
Authors:  Geping Yang;  Hongzhang Lv;  Yiyang Yang;  Zhiguo Gong;  Xiang Chen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date:2023/08/03
Clustering  Density Estimation  k Nearest Neighbors  
RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering Journal article
Yang, Geping, Deng, Sucheng, Chen, Xiang, Chen, Can, Yang, Yiyang, Gong, Zhiguo, Hao, Zhifeng. RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering[J]. PATTERN RECOGNITION, 2022, 137, 109275.
Authors:  Yang, Geping;  Deng, Sucheng;  Chen, Xiang;  Chen, Can;  Yang, Yiyang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:10  IF:7.5/7.6 | Submit date:2023/02/28
Large-scale  Machine Learning  Spectral Clustering  Unsupervised Learning  
LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering Conference paper
Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao. LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering[C], 2022, 556-573.
Authors:  Geping Yang;  Sucheng Deng;  Yiyang Yang;  Zhiguo Gong;  Xiang Chen; et al.
Favorite | TC[WOS]:4 TC[Scopus]:3 | Submit date:2022/08/05
Spectral Clustering  Data Quantization  Machine Learning  Scalability