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1,893 papers
Social networking has become a promising area of research and a medium to boost innovation and learning at departmental and educational levels. The behavior of individuals in social networking sites often follow complex social dynamics which cannot be captured using traditional methods and approaches. This study presen...
Graph embedding techniques have become increasingly prevalent in various domains, including social network analysis, drug discovery, and recommendation systems. A fundamental limitation of many existing approaches is their reliance on fixed metrics to define node similarity and distance. These fixed metrics often fail...
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MatNexus v1.0.1 source release supporting the Software Report “MatNexus: a traceable adapter framework for QM9 molecular property prediction with heterogeneous graph neural networks”. This record contains the exact MIT-licensed source snapshot from Git commit 662282d and tag v1.0.1, including the representation-contrac...
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Climate & Sustainability
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