Skyorca / OpenGDALinks
(CIKM'23 resource track) Graph Domain Adaptation Benchmark for Cross-network Learning
☆28Updated 2 years ago
Alternatives and similar repositories for OpenGDA
Users that are interested in OpenGDA are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 11 months ago
- Benchmark☆113Updated last year
- ☆101Updated 4 years ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆33Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- ☆46Updated 3 years ago
- [TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.☆14Updated 11 months ago
- ☆26Updated 2 months ago
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆36Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆104Updated last year
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)☆23Updated 8 months ago
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 5 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 4 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆95Updated 8 months ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Deep Graph Outlier Detection☆67Updated 2 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆34Updated 4 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆21Updated 3 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- ☆63Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- Awesome Few-Shot Learning on Graphs☆22Updated 9 months ago