Faezeh Faez

According to our database, Faezeh Faez authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization.

Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization.

Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang

Trans. Mach. Learn. Res., 2024

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers.

Raika Karimi, Faezeh Faez, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva

CoRR, 2024

2022

SCGG: A Deep Structure-Conditioned Graph Generative Model.

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

CoRR, 2022

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation.

Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

DMNP: A Deep Learning Approach for Missing Node Prediction in Partially Observed Graphs.

Faezeh Faez, Ali Akhoondian Amiri, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Deep Graph Generators: A Survey.

Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

IEEE Access, 2021