Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...
The writer extols the virtues of immersing oneself in nature and laments the inevitable encroachment of private ownership upon the wilderness. I wish to speak a word for Nature, for absolute freedom ...
Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...
Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems. You have full ...
Code for the paper "Multi-Scale Protein Structure Modelling with Geometric Graph U-Nets", by Chang Liu*, Vivian Li*, Linus Leong, Vladimir Radenkovic, Pietro Liò, and Chaitanya K. Joshi (*Equal ...
GCR is a plug-and-play, parameter-free, and lightweight method that works with any model, improving feature quality and generalization without changing the architecture. CIFAR-10 and CIFAR-100 will be ...
1 Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Introduction: The ...
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