thunlp / OpenNE
An Open-Source Package for Network Embedding (NE)
☆1,687Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for OpenNE
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,526Updated 4 years ago
- ☆1,276Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,230Updated 5 months ago
- LINE: Large-scale information network embedding☆1,045Updated 4 months ago
- DeepWalk - Deep Learning for Graphs☆2,686Updated last year
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆526Updated 2 years ago
- A curated list of network embedding techniques.☆2,595Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,428Updated 3 months ago
- Simple reference implementation of GraphSAGE.☆996Updated 4 years ago
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.☆3,722Updated 8 months ago
- This repository provides a reference implementation of struc2vec.☆382Updated last year
- A distributed graph deep learning framework.☆2,900Updated last year
- Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE☆1,403Updated 2 years ago
- Implementation of the node2vec algorithm.☆1,236Updated 3 months ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆788Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆793Updated 5 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,733Updated 9 months ago
- Heterogeneous Graph Neural Network☆1,089Updated 4 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆630Updated last year
- ☆345Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆436Updated 4 years ago
- Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)☆1,537Updated 3 years ago
- Semi-supervised learning with graph embeddings☆889Updated 4 years ago
- Implementation of R-GCNs for Relational Link Prediction☆443Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆798Updated 11 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,272Updated last year
- TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.☆203Updated 5 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,647Updated 4 years ago