WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases. - Md. Ashraful Islam 001; Chowdhury Farhan Ahmed; Carson K. Leung; Calvin S. H. Hoi (PAKDD (3), 2018)

WeFreS: weighted frequent subgraph mining in a single large graph. - Nahian Ashraf; Riddho Ridwanul Haque; Md. Ashraful Islam 001; Chowdhury Farhan Ahmed; Carson K. Leung; Jiaxing Jason Mai; Bryan H. Wodi (ICDM, 2019)

Mining High Utility Subgraphs. - Md. Tanvir Alam; Amit Roy; Chowdhury Farhan Ahmed; Md. Ashraful Islam 001; Carson K. Leung (ICDM (Workshops), 2021)

BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging. - Jesan Ahammed Ovi; Md. Ashraful Islam 001; Md. Rezaul Karim 002 (IEEE Access, 2022)

Weighted frequent sequential pattern mining. - Md. Ashraful Islam 001; Mahfuzur Rahman Rafi; Al-amin Azad; Jesan Ahammed Ovi (Appl. Intell., 2022)

UGMINE: utility-based graph mining. - Md. Tanvir Alam; Amit Roy; Chowdhury Farhan Ahmed; Md. Ashraful Islam 001; Carson K. Leung (Appl. Intell., 2023)

Graph-based substructure pattern mining with edge-weight. - Md. Ashraful Islam 001; Chowdhury Farhan Ahmed; Md. Tanvir Alam; Carson Kai-Sang Leung (Appl. Intell., 2024)