OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning

Author:

Shi Boshen1ORCID,Wang Yongqing2ORCID,Guo Fangda2ORCID,Shao Jiangli1ORCID,Shen Huawei1ORCID,Cheng Xueqi1ORCID

Affiliation:

1. Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, CAS, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

National Key R&D Program Young Scientists Project

Publisher

ACM

Reference32 articles.

1. Konstantinos Bousmalis , George Trigeorgis , Nathan Silberman , Dilip Krishnan , and Dumitru Erhan . 2016. Domain separation networks. Advances in neural information processing systems , Vol. 29 ( 2016 ). Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan. 2016. Domain separation networks. Advances in neural information processing systems, Vol. 29 (2016).

2. Ruichu Cai , Fengzhu Wu , Zijian Li , Pengfei Wei , Lingling Yi , and Kun Zhang . 2021. Graph domain adaptation: A generative view. arXiv preprint arXiv:2106.07482 ( 2021 ). Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, and Kun Zhang. 2021. Graph domain adaptation: A generative view. arXiv preprint arXiv:2106.07482 (2021).

3. Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

4. Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

5. Vijay Prakash Dwivedi , Chaitanya K Joshi , Anh Tuan Luu , Thomas Laurent, Yoshua Bengio, and Xavier Bresson. 2020 . Benchmarking Graph Neural Networks . arXiv preprint arXiv:2003.00982 (2020). Vijay Prakash Dwivedi, Chaitanya K Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, and Xavier Bresson. 2020. Benchmarking Graph Neural Networks. arXiv preprint arXiv:2003.00982 (2020).

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