"A Comprehensive Survey on Graph Neural Networks
All I can find is https://github.com/tkipf/gcn, and from the same authors reimplementations in Pytorch https://github.com/tkipf/pygcn and Keras: https://github.com/tkipf/keras-gcn
many stars for the main repo (1100), but not that much usage?
The interesting questions are if China is uniquely focused on deep learning over other ML techniques, and Chinese research compares in terms of quality. Anecdotally (speaking as a researcher in the field) papers from Chinese institutions seem disproportionately focused on deep learning (whereas, for example, the UK does great work in Bayesian ML and the US does disproprotionately well in NLP). I'm not a deep learning researcher so I can't judge the technical merit, but I was just at NeurIPS in Montreal, and I saw about equal representation of Chinese institutions as South Korean ones. South Korea, with ~1/25 the population, punches way above its weight per capita.
In ML (as in most of Comp Sci) conference proceedings (NeurIPS, ICML etc) are where the prestige publishing is.