Faezeh Faez

According to our database, Faezeh Faez authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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

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

Faezeh Faez, Raika Karimi, 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