Temporal dynamics unleashed: Elevating variational graph attention

Author:

Molaei SoheilaORCID,Niknam Ghazaleh,Ghosheh Ghadeer O.,Chauhan Vinod KumarORCID,Zare HadiORCID,Zhu Tingting,Pan Shirui,Clifton David A.

Publisher

Elsevier BV

Reference49 articles.

1. A. Fout, J. Byrd, B. Shariat, A. Ben-Hur, Protein interface prediction using graph convolutional networks, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017, pp. 6533–6542.

2. Y. Liu, X. Shi, L. Pierce, X. Ren, Characterizing and forecasting user engagement with in-app action graph: A case study of snapchat, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, pp. 2023–2031.

3. T-GCN: A temporal graph convolutional network for traffic prediction;Zhao;IEEE Trans. Intell. Transp. Syst.,2019

4. A graph neural network-based node classification model on class-imbalanced graph data;Huang;Knowl.-Based Syst.,2022

5. Towards a unified framework for fair and stable graph representation learning;Agarwal,2021

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