Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. - Muhammad Umer Anwaar; Dmytro Rybalko; Martin Kleinsteuber (CoRR, 2019)

Epitomic Variational Graph Autoencoder. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Martin Kleinsteuber (ICPR, 2020)

Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. - Muhammad Umer Anwaar; Dmytro Rybalko; Martin Kleinsteuber (ECML/PKDD (5), 2020)

Metapath- and Entity-aware Graph Neural Network for Recommendation. - Zhiwei Han; Muhammad Umer Anwaar; Shyam Arumugaswamy; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (CoRR, 2020)

A Contrastive Learning Approach for Compositional Zero-Shot Learning. - Muhammad Umer Anwaar; Rayyan Ahmad Khan; Zhihui Pan; Martin Kleinsteuber (ICMI, 2021)

Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Omran Kaddah; Zhiwei Han; Martin Kleinsteuber (ECML/PKDD (2), 2021)

Compositional Learning of Image-Text Query for Image Retrieval. - Muhammad Umer Anwaar; Egor Labintcev; Martin Kleinsteuber (WACV, 2021)

Variational Embeddings for Community Detection and Node Representation. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Omran Kaddah; Martin Kleinsteuber (CoRR, 2021)

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. - Muhammad Umer Anwaar; Zhiwei Han; Shyam Arumugaswamy; Rayyan Ahmad Khan; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (MCFR@MM, 2022)

On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. - Muhammad Umer Anwaar; Zhihui Pan; Martin Kleinsteuber (ACM Multimedia, 2022)

Leveraging Representation Learning for Multi-Modal and Graph-Structured Data. - Muhammad Umer Anwaar (2023)