The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The disadvantage of unimodal learning is its incapacity to ...
The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Abstract: Graph Convolutional Networks (GCNs) are gaining attraction in AI research due to their ability to learn from graph data effectively. However, deploying GCNs on CPUs presents substantial ...
Abstract: Auditory attention detection (AAD) reveals listeners’ attention to a speech stimulus based on their elicited electroencephalography (EEG) signals. We propose a geometric graph convolutional ...
Hello, I have been trying to store my graphs in disk similarly to https://pytorch-geometric.readthedocs.io/en/2.5.3/notes/create_dataset.html#creating-larger-datasets ...
Circular RNAs (circRNAs) play pivotal roles in various biological processes and disease progression, particularly in modulating drug responses and resistance mechanisms. Accurate prediction of circRNA ...
I was using dense_to_sparse with a 3D (batched) adjacency matrix tensor (shape [1, N, N]) as a learnable parameter, the backward pass fails with a version error ...
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