Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-graph-data-augmentaion
A curated list of publications and code about data augmentaion for graphs.
https://github.com/kaize0409/awesome-graph-data-augmentaion
Last synced: 4 days ago
JSON representation
-
GraphDA for Optimal Graph Learning
-
Optimal Feature Learning
-
Optimal Structure Learning
- [AAAI 2021 - tong/GAug)|
- [AAAI 2021 - Border/HGSL)|
- [ICDE 2021
- [NeurIPS 2020 - stanford/GIB)|
- [NeurIPS 2020
- [ICML 2020
- [ICLR 2020
- [AAAI 2020
- [ICDM 2020
- [IJCAI 2019
- [ICML 2019 - GNN)|
- [AAAI 2019 - noah/BGCN)|
- [arXiv
- [TheWebConf 2022
- [ICDE 2021
- [ICDM 2020
- [TheWebConf 2022
- [WSDM 2021
- [KDD 2020 - GNN)|
- [TheWebConf 2022
- [TheWebConf 2021 - GAMMA/Graph-Structure-Estimation-Neural-Networks)|
- [WSDM 2021
- [KDD 2020
- [arXiv
-
-
GraphDA for Low-Resource Graph Learning
-
Graph Self-Supervised Learning
- [arXiv 2019
- [arXiv 2022
- [ICLR 2022
- [TheWebConf 2022
- [NeurIPS 2021
- [IJCAI 2021 - Lab/MERIT)|
- [AAAI 2021
- [NeurIPS 2020 - Lab/GraphCL)|
- [ICML 2020 - Lab/SS-GCNs)|
- [arXiv 2019
- [arXiv 2020
- [NeurIPS 2021
- [arXiv 2020
- [arXiv 2022
- [TheWebConf 2022
-
Graph Interpolation
-
Graph Self/Co-Training
- [AAAI 2022 - PN)
- [AAAI 2020
- [AAAI 2020
- [AAAI 2020
- [AAAI 2018 - 18/)|
- [AAAI 2020
- [AAAI 2022 - PN)
-
Graph Consistency Training
-
-
Other Directions
-
GraphDA for Robust Graph Learning
- [arXiv
- [NeurIPS 2020
- [ICME 2020
- [NeurIPS 2020 - harvard/GNNGuard)|
- [arXiv
- [arXiv
- [TKDE 2019
- [PRCV 2019
- survey
- [ICME 2020
- [TKDE 2019
- survey
- [arXiv
-
GraphDA for Graph Imbalanced Learning
-
GraphDA for Learning on Heterophilic Graphs
- [TKDE 2021
- [AAAI 2021
- [ICLR 2019 - uiuc-jlu/geom-gcn)|
- [TKDE 2021
-
Categories
Sub Categories