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16 results found in all.

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1	Random walk models for top-N recommendation task Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ZHUANG Clicked:7579 Download:4868 Cited:3 <Full Text> Journal of Zhejiang University Science A 2009 Vol.10 No.7 P.927-936 DOI:10.1631/jzus.A0920021
2	Discovery method for distributed denial-of-service attack behavior in SDNs using a feature-pattern graph model Author(s):Ya Xiao, Zhi-jie Fan, Amiya Nayak, Cheng-xiang Tan Clicked:8173 Download:2584 Cited:0 <Full Text> <PPT> 1905 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.9 P.1195-1208 DOI:10.1631/FITEE.1800436
3	An error recognition method for power equipment defect records based on knowledge graph technology Author(s):Hui-fang Wang, Zi-quan Liu Clicked:8372 Download:2679 Cited:0 <Full Text> <PPT> 1922 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.11 P.1564-1577 DOI:10.1631/FITEE.1800260
4	EncyCatalogRec: catalog recommendation for encyclopedia article completion Author(s):Wei-ming Lu, Jia-hui Liu, Wei Xu, Peng Wang, Bao-gang Wei Clicked:6741 Download:2953 Cited:0 <Full Text> <PPT> 2367 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.3 P.436-447 DOI:10.1631/FITEE.1800363
5	A local density optimization method based on a graph convolutional network Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun Clicked:6042 Download:3744 Cited:0 <Full Text> <PPT> 2105 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.12 P.1795-1803 DOI:10.1631/FITEE.1900663
6	Video summarization with a graph convolutional attention network Author(s):Ping Li, Chao Tang, Xianghua Xu Clicked:6085 Download:13040 Cited:0 <Full Text> <PPT> 1982 Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.6 P.902-913 DOI:10.1631/FITEE.2000429
7	NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Author(s):Jianke HU, Yin ZHANG Clicked:7707 Download:7922 Cited:0 <Full Text> <PPT> 897 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.3 P.409-421 DOI:10.1631/FITEE.2000657
8	Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments Author(s):Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG Clicked:3756 Download:9843 Cited:0 <Full Text> <PPT> 820 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.117-130 DOI:10.1631/FITEE.2200073
9	Self-supervised graph learning with target-adaptive masking for session-based recommendation Author(s):Yitong WANG, Fei CAI, Zhiqiang PAN, Chengyu SONG Clicked:3976 Download:8476 Cited:0 <Full Text> <PPT> 910 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.73-87 DOI:10.1631/FITEE.2200137
10	Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network Author(s):Qianqiao LIANG, Hua WEI, Yaxi WU, Feng WEI, Deng ZHAO, Jianshan HE, Xiaolin ZHENG, Guofang MA, Bing HAN Clicked:3540 Download:5229 Cited:0 <Full Text> <PPT> 757 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.3 P.388-402 DOI:10.1631/FITEE.2200151
11	Combining graph neural network with deep reinforcement learning for resource allocation in computing force networks Author(s):Xueying HAN, Mingxi XIE, Ke YU, Xiaohong HUANG, Zongpeng DU, Huijuan YAO Clicked:3172 Download:3338 Cited:0 <Full Text> <PPT> 527 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.5 P.701-712 DOI:10.1631/FITEE.2300009
12	Transfer learning with a spatiotemporal graph convolution network for city flow prediction Author(s):Binkun LIU, Yu KANG, Yang CAO, Yunbo ZHAO, Zhenyi XU Clicked:2203 Download:1665 Cited:0 <Full Text> <PPT> 703 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.1 P.79-92 DOI:10.1631/FITEE.2300571
13	Neural mesh refinement Author(s):Zhiwei ZHU, Xiang GAO, Lu YU, Yiyi LIAO Clicked:1539 Download:1619 Cited:0 <Full Text> <PPT> 375 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.5 P.695-712 DOI:10.1631/FITEE.2400344
14	Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence Author(s):Jian GUO, Saizhuo WANG, Lionel M. NI, Heung-Yeung SHUM Clicked:3154 Download:755 Cited:0 <Full Text> <PPT> 1387 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.11 P.1421-1445 DOI:10.1631/FITEE.2300720
15	FedSTGCN: a novel federated spatiotemporal graph learning-based network intrusion detection method for the Internet of Things Author(s):Yalu WANG, Jie LI, Zhijie HAN, Pu CHENG, Roshan KUMAR Clicked:925 Download:721 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.7 P.1164-1179 DOI:10.1631/FITEE.2400932

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