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Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Training  Topology  Graph Neural Networks  Data Models  Accuracy  Task Analysis  Image Color Analysis  Class-imbalanced Learning  Data Mining  Node Classification  
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited Journal article
Wang, Zheng, Ding, Hongming, Pan, Li, Li, Jianhua, Gong, Zhiguo, Yu, Philip S.. From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Wang, Zheng;  Ding, Hongming;  Pan, Li;  Li, Jianhua;  Gong, Zhiguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/11/05
Data Mining  Graph Convolutional Neural Networks  Graph-based Semi-supervised Learning (Gssl)  
Investigating Material Interface Diffusion Phenomena through Graph Neural Networks in Applied Materials Journal article
Zhao, Zirui, Li, Hai Feng. Investigating Material Interface Diffusion Phenomena through Graph Neural Networks in Applied Materials[J]. ACS Applied Materials & Interfaces, 2024, 16(39), 53153-53162.
Authors:  Zhao, Zirui;  Li, Hai Feng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.3/8.7 | Submit date：2024/10/10
Graph Neural Networks (Gnns)  Interface Diffusion  Material Properties Prediction  Atomic Structure Modeling  Semiconductor Interfaces  
Predicting doping strategies for ternary nickel–cobalt–manganese cathode materials to enhance battery performance using graph neural networks Journal article
Zhao, Zirui, Luo, Dong, Wu, Shuxing, Sun, Kaitong, Lin, Zhan, Li, Hai Feng. Predicting doping strategies for ternary nickel–cobalt–manganese cathode materials to enhance battery performance using graph neural networks[J]. Journal of Energy Storage, 2024, 98, 112982.
Authors:  Zhao, Zirui;  Luo, Dong;  Wu, Shuxing;  Sun, Kaitong;  Lin, Zhan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.9/9.0 | Submit date：2024/08/05
Doping Strategies  Electrochemical Performance  Graph Neural Networks  Lithium-ion Batteries  Ternary Nickel–cobalt–manganese Cathode Materials  
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition Journal article
Li, Cunbo, Li, Peiyang, Chen, Zhaojin, Yang, Lei, Li, Fali, Wan, Feng, Cao, Zehong, Yao, Dezhong, Lu, Bao Liang, Xu, Peng. Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024.
Authors:  Li, Cunbo;  Li, Peiyang;  Chen, Zhaojin;  Yang, Lei;  Li, Fali; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.7 | Submit date：2024/10/10
Affective Brain-computer Interface (Abci) System  Cognition-inspired Learning  Electroencephalogram (Eeg) Brain Networks  Emotion Recognition  Geometry Manifold  Graph Embedding  L1-norm Space  
DyGKT: Dynamic Graph Learning for Knowledge Tracing Conference paper
KE CHENG, LINZHI PENG, PENGYANG WANG, JUNCHEN YE, LEILEI SUN, BOWEN DU. DyGKT: Dynamic Graph Learning for Knowledge Tracing[C], New York, NY, USA:Association for Computing Machinery, 2024, 409-420.
Authors:  KE CHENG;  LINZHI PENG;  PENGYANG WANG;  JUNCHEN YE;  LEILEI SUN; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/08/28
Dynamic Graph  Educational Data Mining  Graph Neural Networks  Knowledge Tracing  
Generalized Few-Shot Node Classification With Graph Knowledge Distillation Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Wang, Jialong;  Zhou, Mengting;  Zhang, Shilong;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Few-shot Learning (Fsl)  Graph Neural Networks (Gnns)  Knowledge Distillation  Node Classification  
Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach Journal article
Guo, Xianwei, Huang, Fangwan, Yang, Dingqi, Tu, Chunyu, Yu, Zhiyong, Guo, Wenzhong. Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32(2), 1631-1644.
Authors:  Guo, Xianwei;  Huang, Fangwan;  Yang, Dingqi;  Tu, Chunyu;  Yu, Zhiyong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.0/3.6 | Submit date：2024/02/22
Mobile Crowdsensing  Spatiotemporal Fracture Data Inference  Graph Attention Networks  Transformer  
Informative Nodes Mining for Class-Imbalanced Representation Learning Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Class Imbalanced Learning  Costs  Graph Neural Network (Gnn)  Graph Neural Networks  Node Classification  Representation Learning  Social Networking (Online)  Task Analysis  Training  Training Data  
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis Journal article
Xu, Lixiang, Cui, Qingzhe, Xu, Wei, Chen, Enhong, Tong, He, Tang, Yuanyan. Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis[J]. Information Fusion, 2024, 103, 102131.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Xu, Wei;  Chen, Enhong;  Tong, He; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date：2024/04/02
3d Shape Analysis  Graph Networks  Multi-view Fusion  Path Aggregation  Vision Transformer