Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition. - Peyman Baghershahi; Reshad Hosseini; Hadi Moradi (CoRR, 2022)

Self-attention presents low-dimensional knowledge graph embeddings for link prediction. - Peyman Baghershahi; Reshad Hosseini; Hadi Moradi (Knowl. Based Syst., 2023)

Design Requirements for Human-Centered Graph Neural Network Explanations. - Pantea Habibi; Peyman Baghershahi; Sourav Medya; Debaleena Chattopadhyay (CoRR, 2024)

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach. - Rochana Chaturvedi; Peyman Baghershahi; Sourav Medya; Barbara Di Eugenio (ACL (1), 2025)

Unsupervised Prompting for Graph Neural Networks. - Peyman Baghershahi; Sourav Medya (CoRR, 2025)

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context. - Peyman Baghershahi; Gregoire Fournier; Pranav Nyati; Sourav Medya (CoRR, 2025)