https://www.selleckchem.com/products/cb1954.html
A simple yet effective Global Context Adaption (GCA) module facilitates representative feature extraction by learning the input-dependent skeleton topologies. Compared to the mainstream works, MV-IGNet can be readily implemented while with smaller model size and faster inference. Experimental results show the proposed MV-IGNet achieves impressive performance on large-scale benchmarks NTU-RGB+D and NTU-RGB+D 120.Quantitative relationship between the activity/property and the structure of compound is critical in chemical applications. To l
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