Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Building upon this, we compiled a comprehensive sepsis knowledge graph, comprising of 1894 nodes and 2021 distinct relationships. Conclusions: This study represents a pioneering effort in using LLMs, ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.
Interferon receptor knockout chickens uncover how type I and III interferons differentially shape avian antiviral immunity and influenza disease outcomes.
Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...
Former supermodel Tyra Banks is suing Netflix for defamation, alleging its docuseries Reality Check: Inside America’s Next Top Model used hours of her interview footage to construct a false narrative.
AI vendors promote their enterprise products as if they’re turnkey solutions, but the chances are low that AI agents will hit the ground running right away. Unless you put in the effort to train a ...
Abstract: Burgeoning graph contrastive learning (GCL) stands out in the graph domain with low annotated costs and high model performance improvements, which is typically composed of three standard ...
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