Can Modifying Data Address Graph Domain Adaptation?

Author:

Huang Renhong1ORCID,Xu Jiarong2ORCID,Jiang Xin3ORCID,An Ruichuan4ORCID,Yang Yang5ORCID

Affiliation:

1. Zhejiang University & Fudan University, Hangzhou, China

2. Fudan University, Shanghai, China

3. Lehigh University, Bethlehem, PA, USA

4. Xi'an Jiaotong University, Xi'an, China

5. Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

SMP-IDATA Open Youth Fund

Publisher

ACM

Reference69 articles.

1. Mikhail Belkin and Partha Niyogi. 2001. Laplacian eigenmaps and spectral techniques for embedding and clustering. NeurIPS, Vol. 14 (2001).

2. Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning, Vol. 79 (2010), 151--175.

3. Tolga Birdal Michael Arbel Umut Simsekli and Leonidas J Guibas. 2020. Synchronizing probability measures on rotations via optimal transport. In CVPR.

4. Miko?aj Bi?kowski Dougal J. Sutherland Michael Arbel and Arthur Gretton. 2018. Demystifying MMD GANs. In ICLR.

5. Aleksandar Bojchevski and Stephan Günnemann. 2018. Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking.

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