Clustering with Simultaneous Local and Global View of Data: A message passing based approach. - Rayyan Ahmad Khan; Rana Ali Amjad; Martin Kleinsteuber (CoRR, 2018)

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

Epitomic Variational Graph Autoencoder. - Rayyan Ahmad Khan; 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)

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

A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. - Rayyan Ahmad Khan; 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)

Cluster-Aware Heterogeneous Information Network Embedding. - Rayyan Ahmad Khan; Martin Kleinsteuber (WSDM, 2022)

Barlow Graph Auto-Encoder for Unsupervised Network Embedding. - Rayyan Ahmad Khan; Martin Kleinsteuber (AISTATS, 2023)

Unsupervised Learning of Network Embedding with Variational Autoencoder Framework. - Rayyan Ahmad Khan (2023)