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Faezeh Faez
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Deep graph generators: A survey
F Faez, Y Ommi, MS Baghshah, HR Rabiee
IEEE Access 9, 106675-106702, 2021
562021
Ccgg: A deep autoregressive model for class-conditional graph generation
Y Ommi, M Yousefabadi, F Faez, A Sabour, M Soleymani Baghshah, ...
Companion Proceedings of the Web Conference 2022, 1092-1098, 2022
42022
DMNP: A Deep Learning Approach for Missing Node Prediction in Partially Observed Graphs
F Faez, AA Amiri, MS Baghshah, HR Rabiee
2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022
32022
SCGG: A deep structure-conditioned graph generative model
F Faez, N Hashemi Dijujin, M Soleymani Baghshah, HR Rabiee
Plos one 17 (11), e0277887, 2022
22022
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
M Biparva, R Karimi, F Faez, Y Zhang
arXiv preprint arXiv:2402.05944, 2024
12024
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
M Yousefabadi, Y Ommi, F Faez, A Sabour, MS Baghshah, HR Rabiee
arXiv e-prints, arXiv: 2110.03800, 2021
2021
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