DeepGraphLearning / graphviteLinks
GraphVite: A General and High-performance Graph Embedding System
☆1,260Updated last year
Alternatives and similar repositories for graphvite
Users that are interested in graphvite are comparing it to the libraries listed below
Sorting:
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,321Updated 2 months ago
- An Open-Source Package for Network Embedding (NE)☆1,701Updated last year
- ☆1,284Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,413Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,802Updated last year
- Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)☆1,528Updated 4 years ago
- ☆1,338Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago
- An Industrial Graph Neural Network Framework☆1,328Updated 3 months ago
- A distributed graph deep learning framework.☆2,900Updated 2 years ago
- Implementation of the node2vec algorithm.☆1,284Updated 2 weeks ago
- A curated list of network embedding techniques.☆2,615Updated 4 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,524Updated 5 years ago
- Dynamic (Temporal) Knowledge Graph Completion (Reasoning)☆600Updated 5 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆535Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,035Updated 5 years ago
- ☆2,697Updated 3 years ago
- Python library for knowledge graph embedding and representation learning.☆617Updated 4 years ago
- This repository provides a reference implementation of struc2vec.☆395Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆818Updated 6 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆926Updated 2 years ago
- Fastest network node embeddings in the west☆552Updated 9 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,040Updated 5 months ago
- DeepWalk - Deep Learning for Graphs☆2,738Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,603Updated last year
- LINE: Large-scale information network embedding☆1,052Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆805Updated 2 years ago
- Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE☆1,415Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆873Updated last year