lengyyy / KNN-GraphLinks
Building KNN Graph for Billion High Dimensional Vectors Efficiently
☆21Updated 6 years ago
Alternatives and similar repositories for KNN-Graph
Users that are interested in KNN-Graph are comparing it to the libraries listed below
Sorting:
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆31Updated 7 years ago
- Fast search algorithm for product-quantized codes via hash-tables☆54Updated 7 years ago
- Benchmark of Nearest Neighbor Search on High Dimensional Data☆211Updated 4 years ago
- Search with a hash index☆33Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Distance Metric Learning Algorithms for Python☆175Updated 4 years ago
- A framework for index based similarity search.☆19Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 5 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 7 years ago
- A library of hashing methods for ANN (Approximate Nearest Neighbor) search.☆14Updated 8 years ago
- A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.☆292Updated 8 years ago
- Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.☆51Updated 12 years ago
- fast library for ANN search and KNN graph construction☆295Updated 7 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆49Updated 8 years ago
- A fast implementation of spectral clustering on GPU-CPU Platform☆32Updated 7 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆61Updated last year
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55Updated 10 years ago
- We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directl…☆12Updated 8 years ago
- Official MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆53Updated 4 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 9 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.☆154Updated 2 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 7 years ago
- ☆74Updated 7 years ago
- ☆13Updated 6 years ago
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Updated 8 years ago
- Implementation of HNSW that supports online updates☆67Updated 8 years ago
- Clustering by fast search and find of density peaks☆78Updated 7 years ago