OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning-Reference-Cited by-同舟云学术

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Shi Boshen¹^ORCID,Wang Yongqing²^ORCID,Guo Fangda²^ORCID,Shao Jiangli¹^ORCID,Shen Huawei¹^ORCID,Cheng Xueqi¹^ORCID

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

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615127

Reference32 articles.

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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).