Dr Yayong Li
Dr

Yayong Li

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Dr Yayong Li is:
Available for supervision

Search Professor Yayong Li’s works on UQ eSpace

5 works between 2021 and 2024
All (5) Journal Article (2) Conference Publication (3)

1 - 5 of 5 works

2024

Conference Publication

Graph condensation for open-world graph learning

Gao, Xinyi, Chen, Tong, Zhang, Wentao, Li, Yayong, Sun, Xiangguo and Yin, Hongzhi (2024). Graph condensation for open-world graph learning. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671917

Graph condensation for open-world graph learning

2022

Journal Article

Informative pseudo-labeling for graph neural networks with few labels

Li, Yayong, Yin, Jie and Chen, Ling (2022). Informative pseudo-labeling for graph neural networks with few labels. Data Mining and Knowledge Discovery, 37 (1), 228-254. doi: 10.1007/s10618-022-00879-4

Informative pseudo-labeling for graph neural networks with few labels

2022

Conference Publication

Towards deepening graph neural networks: a GNTK-based optimization perspective

Huang, Wei, Li, Yayong, Du, Weitao, Yin, Jie, Xu, Richard Yi Da, Chen, Ling and Zhang, Miao (2022). Towards deepening graph neural networks: a GNTK-based optimization perspective. International Conference on Learning Representations 2022, Virtual, 25-29 April 2022. Appleton, WI USA: International Conference on Learning Representations. doi: 10.48550/arXiv.2103.03113

Towards deepening graph neural networks: a GNTK-based optimization perspective

2021

Journal Article

SEAL: Semisupervised Adversarial Active Learning on attributed graphs

Li, Yayong, Yin, Jie and Chen, Ling (2021). SEAL: Semisupervised Adversarial Active Learning on attributed graphs. IEEE Transactions on Neural Networks and Learning Systems, 32 (7), 3136-3147. doi: 10.1109/tnnls.2020.3009682

SEAL: Semisupervised Adversarial Active Learning on attributed graphs

2021

Conference Publication

Unified robust training for graph neural networks against label noise

Li, Yayong, Yin, Jie and Chen, Ling (2021). Unified robust training for graph neural networks against label noise. 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Virtual, 11-14 May 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-75762-5_42

Unified robust training for graph neural networks against label noise

Availability

Dr Yayong Li is:
Available for supervision

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