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This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...

Download the full document here: No. 25-987, Multi-Domain Operations Range Guide for Company Grade through Field Grade Leaders (Apr 25) [PDF - 4.1 MB] Multi-Domain Operational (MDO) lessons learned ...

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Abstract: Log-based anomaly detection in software systems is becoming increasingly crucial for monitoring network operations and ensuring system security. Deep learning-based methods are widely used ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...

EXCLUSIVE: CAA and Range Media Partners already are in arbitration over equity the agency canceled for the agents who made up the 2020-formed management company. Now the Bryan Lourd-led CAA is after ...

Graph-based methods have become increasingly important in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search helps identify data points closest to a given ...