iQua / CVPR2020-ShoestringLinks
Official code for the CVPR 2020 paper "Shoestring: Graph-Based Semi-Supervised Classification with Severely Limited Labeled Data."
☆10Updated 4 years ago
Alternatives and similar repositories for CVPR2020-Shoestring
Users that are interested in CVPR2020-Shoestring are comparing it to the libraries listed below
Sorting:
- ☆67Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 4 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Collect papers about graph☆76Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 5 months ago
- Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆48Updated 4 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 3 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago
- ☆77Updated 4 years ago
- Source code of GResNet☆16Updated 4 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 4 years ago