SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
The National Council on Teacher Quality gave poor ratings to three of Maine’s public universities at a time when reading test ...
Researchers at the MRC Laboratory of Medical Sciences (LMS) and Imperial College London in London, UK have developed a ...
Market research is shifting to real-time, AI-native workflows. Here are seven trends that will redefine insights in 2026 and ...
A new imaging-enabled knowledge graph, CardioKG, uses AI to integrate cardiac structure and function with molecular data, ...
Semantic Table Interpretation is a critical process that transforms tabular data into rich, machine-readable semantic representations by associating table elements with concepts from established ...
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