FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (CoRR, 2021)

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (AI, 2022)

Challenges and Complexities in Machine Learning based Credit Card Fraud Detection. - Gayan K. Kulatilleke (CoRR, 2022)

Credit card fraud detection - Classifier selection strategy. - Gayan K. Kulatilleke (CoRR, 2022)

Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data. - Gayan K. Kulatilleke; Sugandika Samarakoon (CoRR, 2022)

NBC-Softmax : Darkweb Author fingerprinting and migration tracking. - Gayan K. Kulatilleke; Shekhar S. Chandra; Marius Portmann (CoRR, 2022)

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. - Mohanad Sarhan; Gayan K. Kulatilleke; Wai Weng Lo; Siamak Layeghy; Marius Portmann (CCGridW, 2023)

Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. - Nathasha Naranpanawa; H. Peter Soyer; Adam Mothershaw; Gayan K. Kulatilleke; Zongyuan Ge; Brigid Betz-Stablein; Shekhar S. Chandra (CoRR, 2023)

XG-BoT: An explainable deep graph neural network for botnet detection and forensics. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Internet Things, 2023)

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Appl. Intell., 2023)

Efficient block contrastive learning via parameter-free meta-node approximation. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2023)

A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. - Nathasha Naranpanawa; H. Peter Soyer; Adam Mothershaw; Gayan K. Kulatilleke; Zongyuan Ge; Brigid Betz-Stablein; Shekhar S. Chandra (ISBI, 2024)

FlowTransformer: A transformer framework for flow-based network intrusion detection systems. - Liam Daly Manocchio; Siamak Layeghy; Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Marius Portmann (Expert Syst. Appl., 2024)

SCGC : Self-supervised contrastive graph clustering. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2025)