Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects

Bo-Shen Shi; Yong-Qing Wang; Fang-Da Guo; Bing-Bing Xu; Hua-Wei Shen; Xue-Qi Cheng

doi:10.1007/s11390-024-4465-x

Citations

387

Views

Abstract not available for this publication.

Cite this Article (APA)

Bo-Shen, S., Yong-Qing, W., Fang-Da, G., Bing-Bing, X., Hua-Wei, S., Xue-Qi, C. (2025). Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects. Journal of Computer Science and Technology. https://doi.org/10.1007/s11390-024-4465-x

Yu-Zhu Sun; He-Li Sun; Jian-Cong Ma; Peng Zhang; Xiao-Yong Huang · 2025

cites

387

FedBone: Towards Large-Scale Federated Multi-Task Learning

Yi-Qiang Chen; Teng Zhang; Xin-Long Jiang; Qian Chen; Chen-Long Gao; Wu-Liang Hu · 2024

cites

387

AI Computing Systems for Large Language Models Training

Zhen-Xing Zhang; Yuan-Bo Wen; Han-Qi Lyu; Chang Liu; Rui Zhang; Xia-Qing Li; Cha · 2025

cites

390

Physical AI: Evolution, Progress, Challenges, and Prospects