mirror of
https://github.com/facebookresearch/faiss.git
synced 2026-10-11 22:50:00 +00:00
Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4666 * `for OpenMP support support` → `for OpenMP support` * `neccesary` → `necessary` * `journal= {arXiv:1702.08734},,` → `journal = {arXiv:1702.08734},` * `verinsion` → `version` * `consistency_check--config` → `consistency_check --config` * `etracted` → `extracted` (2 occurrences) * `sb` → `xb` (variable reference) * `statists` → `statistics` * `elemnts` → `elements` Reviewed By: alibeklfc Differential Revision: D86474214 fbshipit-source-id: f63272423b0a767f7576cd433004c87d85e2d740
README for the link & code implementation
What is this?
Link & code is an indexing method that combines HNSW indexing with compression and exploits the neighborhood structure of the similarity graph to improve the reconstruction. It is described in
@inproceedings{link_and_code,
author = {Matthijs Douze and Alexandre Sablayrolles and Herv\'e J\'egou},
title = {Link and code: Fast indexing with graphs and compact regression codes},
booktitle = {CVPR},
year = {2018}
}
ArXiV here
The necessary code for this paper was removed from Faiss in version 1.8.0. For a functioning version, use Faiss 1.7.4.