The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
☆154May 23, 2023Updated 2 years ago
Alternatives and similar repositories for dgl
Users that are interested in dgl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,245Jul 31, 2025Updated 7 months ago
- A tutorial on Graph Convolutional Neural Networks☆318Oct 8, 2020Updated 5 years ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆629Jan 23, 2020Updated 6 years ago
- The learning of the GraphNeuralNetwork☆153Nov 21, 2019Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,366Apr 14, 2023Updated 2 years ago
- Papers on Graph neural network(GNN)☆768Sep 18, 2023Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,394Dec 12, 2022Updated 3 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,368Jun 13, 2020Updated 5 years ago
- Generate embeddings from large-scale graph-structured data.☆3,459Mar 3, 2024Updated 2 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Oct 23, 2020Updated 5 years ago
- Must-read papers on graph neural networks (GNN)☆16,735Dec 20, 2023Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆255Apr 13, 2018Updated 7 years ago
- tensorflow-as-gcn☆89Oct 19, 2019Updated 6 years ago
- Graph Neural Network Library for PyTorch☆23,590Updated this week
- ☆11Oct 6, 2017Updated 8 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Feb 28, 2022Updated 4 years ago
- Graph Convolutional Networks (GCNs)☆919Feb 9, 2018Updated 8 years ago
- Transformers are Graph Neural Networks!☆54Dec 27, 2020Updated 5 years ago
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Mar 25, 2021Updated 4 years ago
- links to conference publications in graph-based deep learning☆5,037Feb 7, 2026Updated last month
- Network Embedding Survey and Resources☆41Feb 14, 2017Updated 9 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆407Nov 6, 2022Updated 3 years ago
- ☆10Nov 19, 2015Updated 10 years ago
- Explainable Reasoning over Knowledge Graphs for Recommendation, AAAI2019☆15Jan 23, 2019Updated 7 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago
- GPF(Graph Processing Flow):利用图神经网络处理问题的一般化流程☆91Nov 4, 2018Updated 7 years ago
- Graph Convolution Network for NLP☆210May 22, 2023Updated 2 years ago
- Implementation of paper "Parallelizable Stack Long Short-Term Memory"☆12Apr 8, 2019Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Dec 27, 2017Updated 8 years ago
- ☆31Mar 10, 2019Updated 7 years ago
- ☆355Apr 7, 2020Updated 5 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,505Apr 9, 2022Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,276Jul 1, 2021Updated 4 years ago
- Mimic interview☆10Jun 26, 2020Updated 5 years ago
- Evolutionary algorithm toolbox☆180Aug 23, 2018Updated 7 years ago
- torchbearer: A model fitting library for PyTorch☆641Dec 4, 2023Updated 2 years ago
- ☆137Jun 16, 2020Updated 5 years ago
- Real time face landmarking using decision trees and NN autoencoders☆70Feb 28, 2019Updated 7 years ago