Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...
Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising graph ...
Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...
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New AI model accurately grades messy handwritten math answers and explains student errors
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...
Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.
Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...
Abstract: We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in ...
A comprehensive, production-ready implementation of Graph Attention Networks with advanced visualization, analysis tools, and interactive demos. graph-attention-networks/ ├── src/ # Source code │ ├── ...
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