Graph Convolutional Neural Networks for Predicting Drug-Target Interactions
PulseAugur coverage of Graph Convolutional Neural Networks for Predicting Drug-Target Interactions — every cluster mentioning Graph Convolutional Neural Networks for Predicting Drug-Target Interactions across labs, papers, and developer communities, ranked by signal.
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New pruning technique optimizes GCNs for embedded event-based vision
Researchers have developed a hardware-aware pruning and quantization strategy for Graph Convolutional Neural Networks (GCNs) designed for embedded event-based vision systems. This method aims to optimize GCN models for …
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Withdrawn paper details GCN-based EEG seizure detection
A research paper, now withdrawn, proposed a framework for detecting epileptic seizures using Graph Convolutional Neural Networks (GCNs) applied to electroencephalogram (EEG) signals. The method involved decomposing EEG …