| 2024 | PAKDD | HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. | Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme |
| 2024 | RecSys | Multi-Behavioral Sequential Recommendation. | Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme |
| 2022 | RecSys | Context and Attribute-Aware Sequential Recommendation via Cross-Attention. | Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme |
| 2021 | SIGIR | A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2020 | RecSys | MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. | Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches |
| 2019 | ICAART | Multi-Label Network Classification via Weighted Personalized Factorizations. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | ICAART | Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | KDD | Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | RecSys | Attribute-aware non-linear co-embeddings of graph features. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |