EdisonLeeeee / GraphDataLinks
A collection of graph data used for semi-supervised node classification.
☆40Updated 3 years ago
Alternatives and similar repositories for GraphData
Users that are interested in GraphData are comparing it to the libraries listed below
Sorting:
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- The source code of HeCo☆168Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆105Updated 5 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆139Updated 2 years ago
- ☆77Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆140Updated last year
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- ☆99Updated 4 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- ☆38Updated 4 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 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
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 4 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated last month
- Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 4 years ago
- ☆123Updated 2 years ago
- Deep Graph Outlier Detection☆67Updated 2 years ago
- NeurIPS 2022 - SHGP☆32Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- How Powerful are Spectral Graph Neural Networks☆74Updated 2 years ago
- ☆29Updated 4 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year