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brewess

ccst

Souce code for paper "Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search"

code

cvpr16-deepbit

Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)

dagformer

The repository implements the Transformer over Directed Acyclic Graph (DAG transformer) in Pytorch Geometric.

demo

digraph_transformer

efanna_graph

an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework

faiss-learned-termination

Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graph-generation-edge

EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

graph_toolformer

graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

graphrnn

higpt

"HiGPT: Heterogenous Graph Language Models"

myformer

natten

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

nns-meets-deep-rl

Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning

nnvit

nsg

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

paradime

A framework for parametric dimensionality reduction

qinco

Residual Quantization with Implicit Neural Codebooks

scalablevectorsearch

sgformer

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

study

sunnyweather