Abstract: Accurate short-term load forecasting (STLF) requires capturing complex spatio-temporal dependencies, a task where standard Graph Neural Networks (GNNs) struggle due to static graph ...
Abstract: Graph neural networks (GNNs) have assumed a pivotal role in advancing the domain of graph structure learning, particularly in undirected weighted graphs (UWGs). However, current GNNs ...
Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Why latency guarantees, memory movement, power budgets, and rapid model deployment now matter more than raw TOPS.
Territory pricing in UK personal lines is broken in predictable ways. The standard approach - a GLM with postcode sector as a categorical predictor - creates 11,200 separate territory parameters for ...
A self-contained, self-extending AI chat agent written in Varg, communicating over the Matrix protocol. Features a Multi-Soul personality system, knowledge-graph-driven tool discovery, permanent ...
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