Graph Machine Learning
PulseAugur coverage of Graph Machine Learning — every cluster mentioning Graph Machine Learning across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI frameworks proposed for power system protection and operations · 2 sources tracked
Two recent arXiv papers propose standardized frameworks for applying machine learning to power system protection and operations. The first paper introduces a seven-dimension framework to ensure comparability and auditab…
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New method improves distance-preserving embeddings for complex networks
Researchers have developed a new method for creating distance-preserving embeddings in inhomogeneous random graphs, which are complex networks with type-dependent edge probabilities. This approach uses landmark-based em…
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Aitchison geometry powers new compositional graph embeddings and flavor tagger calibration
Two new arXiv papers introduce novel approaches to representation learning using Aitchison geometry. One paper proposes a framework for calibrating flavor taggers in high-energy physics by formulating it as an optimal t…