Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks. - Erfan Loghmani; MohammadAmin Fazli (CoRR, 2023)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. - Julia Gastinger; Shenyang Huang; Michael Galkin; Erfan Loghmani; Ali Parviz; Farimah Poursafaei; Jacob Danovitch; Emanuele Rossi; Ioannis Koutis; Heiner Stuckenschmidt; Reihaneh Rabbany; Guillaume Rabusseau (NeurIPS, 2024)

RPS: Portfolio asset selection using graph based representation learning. - MohammadAmin Fazli; Parsa Alian; Ali Owfi; Erfan Loghmani (Intell. Syst. Appl., 2024)

Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models. - Lalit Jain; Zhaoqi Li; Erfan Loghmani; Blake Mason; Hema Yoganarasimhan (Mark. Sci., 2024)

Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective. - Erfan Loghmani (CoRR, 2025)