OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Federated Graph Neural Networks: Overview, Techniques, and Challenges
Rui Liu, Pengwei Xing, Zichao Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4279-4295
Open Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction
Linghua Yang, W.-K. Chen, Xiaoxi He, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6105-6116
Closed Access | Times Cited: 1

A Fair Incentive Mechanism for Federated Auctioning Networks
Yansong Zhao, Siyao Zhou, Yulan Gao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1

Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning
Xavier Tan, Han Yu
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1

An Empirical Evaluation of the Data Leakage in Federated Graph Learning
Jinyin Chen, Minying Ma, Haonan Ma, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 2, pp. 1605-1618
Closed Access | Times Cited: 3

Federated Graph Augmentation for Semisupervised Node Classification
Zhichang Xia, Xinglin Zhang, Lingyu Liang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 3, pp. 3232-3242
Closed Access

GraphFederator: Federated Visual Analysis for Multi-party Graphs
Dongming Han, Haiyang Zhu, Wei‐Chung Chen, et al.
(2024) Vol. 1, pp. 172-181
Open Access

A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
Habib Taha Kose, Jose Nunez‐Yanez, Robert J. Piechocki, et al.
(2024)
Open Access

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Zhuoning Guo, Duanyi Yao, Qiang Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 968-979
Open Access

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

GraphProxy: Communication-Efficient Federated Graph Learning with Adaptive Proxy
Junyang Wang, Lan Zhang, Junhao Wang, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 2179-2188
Closed Access

Obtaining and qualitative analysis of time-lagged correlations between seawater quality parameters
Qiguang Zhu, Zhen Shen, Zhen Wu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125801-125801
Closed Access

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process
Qianyu Li, Jiebin Chen, Xiaoli Tang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning
Xiaoli Tang, Han Yu
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 20, pp. 1-8
Closed Access

Higher order knowledge mining for humanistic data-generated graphs
Γεώργιος Δρακόπουλος
(2024)
Closed Access

Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization
Dasari Bhulakshmi, Dharmendra Singh Rajput
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access

Dual-channel meta-federated graph learning with robust aggregation and privacy enhancement
Jian Huang, Xu Ma, Yuan Ma, et al.
Future Generation Computer Systems (2024), pp. 107677-107677
Closed Access

FedSG: Subgraph Federated Learning on Multiple Non-IID Graphs
Yingcheng Wang, Songtao Guo, Dewen Qiao
2021 17th International Conference on Mobility, Sensing and Networking (MSN) (2023), pp. 504-511
Closed Access

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