DeepGraphLearning / LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
☆3,075Updated 4 years ago
Alternatives and similar repositories for LiteratureDL4Graph:
Users that are interested in LiteratureDL4Graph are comparing it to the libraries listed below
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,770Updated last year
- links to conference publications in graph-based deep learning☆4,865Updated last month
- Paper Lists for Graph Neural Networks☆2,233Updated last year
- Build Graph Nets in Tensorflow☆5,369Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,245Updated last year
- Repository for benchmarking graph neural networks☆2,541Updated last year
- TensorFlow implementations of Graph Neural Networks☆917Updated 2 years ago
- Must-read papers on graph neural networks (GNN)☆16,177Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,394Updated 10 months ago
- A curated list of network embedding techniques.☆2,598Updated 4 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,523Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,200Updated last year
- Papers on Graph neural network(GNN)☆758Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,458Updated 5 months ago
- GraphVite: A General and High-performance Graph Embedding System☆1,238Updated 7 months ago
- Graph Convolutional Networks in PyTorch☆5,230Updated 4 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,277Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,964Updated last month
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,754Updated 11 months ago
- Sample Code for Gated Graph Neural Networks☆1,029Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,155Updated last year
- How Powerful are Graph Neural Networks?☆1,200Updated 3 years ago
- Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)☆1,539Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,662Updated this week
- resources for graph convolutional networks (图卷积神经网络相关资源)☆881Updated 5 years ago
- An Open-Source Package for Network Embedding (NE)☆1,691Updated last year
- DeepWalk - Deep Learning for Graphs☆2,702Updated last year
- A distributed graph deep learning framework.☆2,901Updated last year
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,628Updated 4 years ago
- StellarGraph - Machine Learning on Graphs☆2,962Updated 9 months ago