VHRanger / nodevectorsLinks
Fastest network node embeddings in the west
☆553Updated 9 months ago
Alternatives and similar repositories for nodevectors
Users that are interested in nodevectors are comparing it to the libraries listed below
Sorting:
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆925Updated 2 years ago
- A tiny library for larger graphs☆119Updated last year
- Fast and scalable node2vec implementation☆96Updated 2 years ago
- Python library assists deep learning on graphs☆566Updated last year
- Implementation of the node2vec algorithm.☆1,281Updated last year
- Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)☆712Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,259Updated last year
- A scikit-learn compatible library for graph kernels☆628Updated 2 months ago
- TorchKGE: Knowledge Graph embedding in Python and PyTorch.☆390Updated last week
- Community Discovery Library☆405Updated 2 months ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,248Updated last year
- Graph Algorithms☆623Updated last week
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 2 years ago
- ☆1,283Updated last year
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆401Updated last year
- Python library for knowledge graph embedding and representation learning.☆617Updated 4 years ago
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆212Updated 2 years ago
- This repository provides a reference implementation of struc2vec.☆394Updated 2 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆641Updated last year
- A PyTorch Graph Neural Network Library☆375Updated last month
- Representation learning for link prediction within social networks☆352Updated 7 years ago
- A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec☆169Updated last week
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,323Updated last month
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆471Updated 2 years ago
- ☆352Updated 5 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆259Updated 2 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆867Updated last year
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆370Updated 2 years ago