1 citations · 1 across the 6 of their papers we have counts for
6 papers
Knowledge Graph-Augmented Ambient AI for Clinical Note Generation
Jakir Hossain, Yi-Fei Zhao, Hongjian Wang +9
Ambient AI is increasingly adopted in healthcare to automatically generate clinical notes from patient-clinician conversations, with the potential to substantially reduce clinician…
Core-based Hierarchies for Efficient GraphRAG
Jakir Hossain, Ahmet Erdem Sarıyüce
Retrieval-Augmented Generation (RAG) enhances large language models by incorporating external knowledge. However, existing vector-based methods often fail on global sensemaking tas…
Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
Jakir Hossain, Jue Guo, Gurvinder Singh +2
Function call graphs (FCGs) have emerged as a powerful abstraction for malware detection, capturing the behavioral structure of applications beyond surface-level signatures. Their…
Density-aware Walks for Coordinated Campaign Detection
Atul Anand Gopalakrishnan, Jakir Hossain, Tuğrulcan Elmas +1
Coordinated campaigns frequently exploit social media platforms by artificially amplifying topics, making inauthentic trends appear organic, and misleading users into engagement. D…
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas +1
Social media users and inauthentic accounts, such as bots, may coordinate in promoting their topics. Such topics may give the impression that they are organically popular among the…
Quantifying Node-based Core Resilience
Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sarıyüce
Core decomposition is an efficient building block for various graph analysis tasks such as dense subgraph discovery and identifying influential nodes. One crucial weakness of the c…