The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
☆24Aug 21, 2022Updated 3 years ago
Alternatives and similar repositories for PGCL
Users that are interested in PGCL are comparing it to the libraries listed below
Sorting:
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆25May 10, 2023Updated 2 years ago
- ☆10Jul 12, 2022Updated 3 years ago
- Few Shot Learning on Graphs☆33Feb 15, 2023Updated 3 years ago
- Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"☆10Nov 17, 2020Updated 5 years ago
- ☆10Jul 18, 2023Updated 2 years ago
- Inception Graph Convolutional NN on medical and non-medical datasets☆22May 12, 2020Updated 5 years ago
- Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Jun 18, 2021Updated 4 years ago
- ☆11Apr 8, 2023Updated 2 years ago
- ☆13Feb 26, 2024Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Dec 18, 2023Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- [ESWA 2023] Pytorch Implementation for 'Orientation and Context Entangled Network for Retinal Vessel Segmentation' Expert Systems with A…☆13May 13, 2023Updated 2 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Jul 5, 2024Updated last year
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆32Mar 11, 2024Updated last year
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Feb 24, 2022Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆344Apr 25, 2024Updated last year
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆18Feb 19, 2022Updated 4 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 2 years ago
- ☆14Nov 21, 2023Updated 2 years ago
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆15Oct 27, 2024Updated last year
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- ☆18Oct 5, 2020Updated 5 years ago
- ☆19Nov 27, 2022Updated 3 years ago
- PyTorch code for Graph convolutional network based interactive prostate segmentation on MR images☆17Apr 7, 2020Updated 5 years ago
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆19May 29, 2023Updated 2 years ago
- [MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version☆16Apr 17, 2023Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆24Jun 10, 2024Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆20Nov 15, 2021Updated 4 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Jun 15, 2023Updated 2 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Jun 9, 2021Updated 4 years ago
- Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…☆20Sep 25, 2023Updated 2 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Aug 22, 2022Updated 3 years ago
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Jul 8, 2022Updated 3 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Oct 16, 2023Updated 2 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Dec 2, 2021Updated 4 years ago
- 通用简单工 具项目☆22Oct 6, 2024Updated last year