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Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction Conference paper
YICHENG ZHOU, PENGFEI WANG, HAO DONG, DENGHUI ZHANG, DINGQI YANG, YANJIE FU, WANG PENGYANG. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction[C], 2024.
Authors:  YICHENG ZHOU;  PENGFEI WANG;  HAO DONG;  DENGHUI ZHANG;  DINGQI YANG; et al.
Favorite |  | Submit date：2024/08/28
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction Conference paper
Zhou, Yicheng, Wang, Pengfei, Dong, Hao, Zhang, Denghui, Yang, Dingqi, Fu, Yanjie, Wang, Pengyang. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction[C]:International Joint Conferences on Artificial Intelligence, 2024, 2607-2615.
Authors:  Zhou, Yicheng;  Wang, Pengfei;  Dong, Hao;  Zhang, Denghui;  Yang, Dingqi; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Data Mining  
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Journal article
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou. RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training[J]. IEEE Transactions on Big Data, 2022, 9(1), 186-199.
Authors:  ; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.5/5.8 | Submit date：2022/05/17
Pre-training  Contrastive Learning  Transformer  Graph Representation Learning