1 citations · 1 across the 3 of their papers we have counts for
4 papers
Towards the Distributed Large-scale k-NN Graph Construction by Graph Merge
Cheng Zhang, Wan-Lei Zhao, Shihai Xiao +2
In order to support the real-time interaction with LLMs and the instant search or the instant recommendation on social media, it becomes an imminent problem to build a k-NN graph o…
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search
Bing Tian, Haikun Liu, Yuhang Tang +6
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of database and AI infrastructure. Ever-increasing vector datasets pose significant challenges in term…
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen, Dechao Gao, Yanfeng Zhang +6
Existing Graph Neural Network (GNN) training frameworks have been designed to help developers easily create performant GNN implementations. However, most existing GNN frameworks as…
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex
Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang +4
Given a vector dataset and a query vector , graph-based Approximate Nearest Neighbor Search (ANNS) aims to build a graph index and approximately return…