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:
On Data-Aware Global Explainability of Graph Neural Networks
Ge Lv, Lei Chen
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 11, pp. 3447-3460
Open Access | Times Cited: 6
Ge Lv, Lei Chen
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 11, pp. 3447-3460
Open Access | Times Cited: 6
Showing 6 citing articles:
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa, Steve Azzolin, Gabriele Santin, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 4
Antonio Longa, Steve Azzolin, Gabriele Santin, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 4
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
Henan Sun, Xunkai Li, Zhengyu Wu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2379-2392
Open Access | Times Cited: 1
Henan Sun, Xunkai Li, Zhengyu Wu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2379-2392
Open Access | Times Cited: 1
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs
Ziyang Liu, Chaokun Wang, Liqun Yang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2889-2903
Closed Access | Times Cited: 1
Ziyang Liu, Chaokun Wang, Liqun Yang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2889-2903
Closed Access | Times Cited: 1
Explaining GNN-Based Recommendations in Logic
Wenfei Fan, Lihang Fan, Dandan Lin, et al.
Proceedings of the VLDB Endowment (2024) Vol. 18, Iss. 3, pp. 715-728
Closed Access | Times Cited: 1
Wenfei Fan, Lihang Fan, Dandan Lin, et al.
Proceedings of the VLDB Endowment (2024) Vol. 18, Iss. 3, pp. 715-728
Closed Access | Times Cited: 1
PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs
Xing Huang, Dan-Dan Lin, Weiyi Huang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2421-2434
Closed Access
Xing Huang, Dan-Dan Lin, Weiyi Huang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2421-2434
Closed Access
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training
Meng Zhang, Qinghao Hu, Cheng Wan, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3823-3836
Closed Access
Meng Zhang, Qinghao Hu, Cheng Wan, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3823-3836
Closed Access
