Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-GNN-Research
My future research
https://github.com/xkLi-Allen/Awesome-GNN-Research
Last synced: 1 day ago
JSON representation
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Model Compression and Quantification
- [Paper
- [Paper - be-your-own-teacher)] [[Link](https://zhuanlan.zhihu.com/p/545136524)]
- [Paper - research/ReviewKD)] [[Link](https://zhuanlan.zhihu.com/p/540706096)]
- [Paper - Lab/DoGo)] [[Link](https://zhuanlan.zhihu.com/p/545141466)]
- [Paper
- [Paper - transfer)] [[Link](https://zhuanlan.zhihu.com/p/542550895)]
- [Paper
- [Paper - research/mdistiller)] [[Link](https://zhuanlan.zhihu.com/p/540345474)]
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper - GCN)] [[Link](https://zhuanlan.zhihu.com/p/520825504)]
- [Paper - Deng-DL/GFKD)] [[Link](https://zhuanlan.zhihu.com/p/526258612)]
- [Paper
- [Paperr
- [Paper - GAMMA/CPF)] [[Link](https://zhuanlan.zhihu.com/p/523829567)]
- [Paper
- [Paper
- [Paper
- [Paper - research/graphless-neural-networks)] [[Link](https://zhuanlan.zhihu.com/p/523383588)]
- [Paper - USTC/GraphAKD)] [[Link](https://zhuanlan.zhihu.com/p/525223627)]
- [Paper - research/gnn-tail-generalization)] [[Link](https://zhuanlan.zhihu.com/p/511394613)]
- [Paper
- [Paper
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Graph Embedding
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Linear-model based Graph Neural Networks
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Sampling based Graph Neural Networks
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Efficient Architecture and Paradigm
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Graph Data Augmentation
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Imbalance Graph Neural Networks
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Personalized and Heterogeneous Federated Learning in CV or NLP
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Theoretical Analysis of Federated Learning in CV or NLP
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CV or NLP Model Compression and Quantification in Federated Learning
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Transfer Federated Graph Learning and Graph Structure Federated Learning
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Intra-Graph Horizontal Federated Learning
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Inter-Graph Horizontal Federated Learning
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Vertical Federal Learning
- [Paper
- [Paper
- [Paper - Learning-with-Differential-Privacy)] [[Link](https://zhuanlan.zhihu.com/p/419216660)]
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper - Network-Release-with-Link-Privacy)] [[Link](https://zhuanlan.zhihu.com/p/417555475)]
- [Paper
- [Link
- [Link
- [Link
- [Link
- [Link
- [Link
- [Link
- [Paper
- [Paper
- [Link
- [Link - generating-function-explained-27821a739035)]
- [Link
- [Link
- [Paper
- [Paper
- [Paper
- [Paper - Computing/NIID-Bench)] [[Link](https://zhuanlan.zhihu.com/p/439561676)]
- [Paper - AI/FedGraphNN)] [[Link](https://zhuanlan.zhihu.com/p/429220636)]
- [Paper
- [Paper
Categories
Vertical Federal Learning
30
Model Compression and Quantification
26
Linear-model based Graph Neural Networks
10
Imbalance Graph Neural Networks
10
Graph Data Augmentation
8
Efficient Architecture and Paradigm
8
Transfer Federated Graph Learning and Graph Structure Federated Learning
6
Intra-Graph Horizontal Federated Learning
6
Personalized and Heterogeneous Federated Learning in CV or NLP
5
CV or NLP Model Compression and Quantification in Federated Learning
4
Graph Embedding
4
Theoretical Analysis of Federated Learning in CV or NLP
3
Sampling based Graph Neural Networks
2
Inter-Graph Horizontal Federated Learning
1
Sub Categories