Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...
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 ...
The Register on MSN
Researchers poison stolen data to make AI systems return wrong results
Wanted: Chief Disinformation Officer to pollute company knowledge graphs Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...
Explore the best AI cryptocurrencies in 2026, including established leaders and emerging projects building decentralized AI, ...
Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
Casio updates key G-Shock models with brighter LED backlights, improved battery life, and modernized modules while retaining their classic designs.
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...
Abstract: Deep graph learning models have recently been developed to learn from various graphs that are prevalent in describing and modeling complex systems, including those in bioinformatics. However ...
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