Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph classification ...

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Unsupervised Domain Adaptation (UDA) methods have been successful in reducing label dependency by minimizing the domain discrepancy between labeled source domains and unlabeled target domains. However ...

Domain Grabber — A Python CLI tool to fetch unique root domains from Archive.org CDX API based on given domain extensions (e.g., .id, .co.id, .ac.id). Supports multiple extensions, progress tracking, ...

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...