cbellei / LabelGCNLinks
☆8Updated 3 years ago
Alternatives and similar repositories for LabelGCN
Users that are interested in LabelGCN are comparing it to the libraries listed below
Sorting:
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 3 years ago
- ☆20Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 3 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆23Updated 2 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆23Updated 2 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated last year
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆75Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆10Updated 2 years ago
- A meta-learning framework for few-shot graph learning☆18Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆40Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- The official source code for "Relational Self-Supervised Learning on Graphs"☆24Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 3 years ago