Peyman Baghershahi

According to our database, Peyman Baghershahi authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs.

Peyman Baghershahi, Fangxin Wang, Debmalya Mandal, Sourav Medya

CoRR, May, 2026

Two-Stage Optimizer-Aware Online Data Selection for Large Language Models.

Fangxin Wang, Peyman Baghershahi, Langzhou He, Henry Peng Zou, Sourav Medya, Philip S. Yu

CoRR, April, 2026

Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models.

Angelo Zangari, Peyman Baghershahi, Sourav Medya

CoRR, February, 2026

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context.

Peyman Baghershahi, Gregoire Fournier, Pranav Nyati, Sourav Medya

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Unsupervised Prompting for Graph Neural Networks.

Peyman Baghershahi, Sourav Medya

CoRR, May, 2025

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach.

Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya, Barbara Di Eugenio

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Design Requirements for Human-Centered Graph Neural Network Explanations.

Pantea Habibi, Peyman Baghershahi, Sourav Medya, Debaleena Chattopadhyay

CoRR, 2024

2023

Self-attention presents low-dimensional knowledge graph embeddings for link prediction.

Peyman Baghershahi, Reshad Hosseini, Hadi Moradi

Knowl. Based Syst., 2023

2022

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition.

Peyman Baghershahi, Reshad Hosseini, Hadi Moradi

CoRR, 2022