Semi-supervised learning with graph embeddings
☆946Mar 5, 2020Updated 5 years ago
Alternatives and similar repositories for planetoid
Users that are interested in planetoid are comparing it to the libraries listed below
Sorting:
- Implementation of Graph Convolutional Networks in TensorFlow☆7,360Apr 14, 2023Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,659Aug 4, 2024Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,730Jan 3, 2020Updated 6 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,500Apr 9, 2022Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,400Sep 20, 2020Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Dec 5, 2018Updated 7 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,367Jun 13, 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
- DeepWalk - Deep Learning for Graphs☆2,755Jun 14, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,238Jul 31, 2025Updated 7 months ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,114Jul 6, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,498Feb 19, 2026Updated last week
- Simple reference implementation of GraphSAGE.☆1,044May 11, 2020Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,273Jul 1, 2021Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,520Aug 3, 2020Updated 5 years ago
- ☆1,288Nov 5, 2023Updated 2 years ago
- Must-read papers on graph neural networks (GNN)☆16,729Dec 20, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Nov 1, 2022Updated 3 years ago
- An Open-Source Package for Network Embedding (NE)☆1,703Jan 10, 2024Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆256Apr 13, 2018Updated 7 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- ☆302Jul 17, 2022Updated 3 years ago
- 《深入浅出图神经网络:GNN原理解析》配套 代码☆1,913Feb 24, 2021Updated 5 years ago
- links to conference publications in graph-based deep learning☆5,028Feb 7, 2026Updated 3 weeks ago
- Graph Convolutional Networks (GCNs)☆920Feb 9, 2018Updated 8 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆540Nov 22, 2019Updated 6 years ago
- LINE: Large-scale information network embedding☆1,054Jul 16, 2024Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Dec 9, 2024Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,648Jun 22, 2023Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Dec 9, 2021Updated 4 years ago
- Heterogeneous Graph Neural Network☆1,201May 6, 2020Updated 5 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221May 31, 2022Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59May 22, 2019Updated 6 years ago
- ☆2,717Jul 21, 2022Updated 3 years ago