4 citations · 4 across the 4 of their papers we have counts for
4 papers
GrAND: GPU-based Dynamic Graph Indexes for Approximate Nearest Neighbour Search
Karthik Venkatasubba, Shivendra Deshpande, Shivram S +1
Modern Approximate Nearest Neighbour Search (ANNS) applications operate over continuously evolving vector collections and require graph indexes that sustain high-throughput searche…
AFGNN: API Misuse Detection using Graph Neural Networks and Clustering
Ponnampalam Pirapuraj, Tamal Mondal, Sharanya Gupta +3
Application Programming Interfaces (APIs) are crucial to software development, enabling integration of existing systems with new applications by reusing tried and tested code, savi…
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU
Karthik V., Saim Khan, Somesh Singh +2
Approximate Nearest Neighbour Search (ANNS) is a subroutine in algorithms routinely employed in information retrieval, pattern recognition, data mining, image processing, and beyon…
MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels
Ranadeep Biswas, Diptanshu Kakwani, Jyothi Vedurada +2
Modern applications, such as social networking systems and e-commerce platforms are centered around using large-scale storage systems for storing and retrieving data. In the presen…