Collate Launches Semantic Intelligence Graph to Help AI Understand Enterprise Data

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...
IEEE

Towards Effective Edge Unlearning: Enhancing Graph Unlearning via Contrastive Learning with Adversarial Example

Abstract: Graph unlearning involves removing certain elements, such as edges and nodes, from a trained graph neural network. This research has significant practical implications, such as enabling ...
TheServerSide

Java Scanner User Input Example

Community driven content discussing all aspects of software development from DevOps to design patterns. The Java Scanner class is a simple, versatile, easy-to-use class that makes user input in Java ...
GitHub

[Question] graph-example执行时会报NPE

http://localhost:18080/manus/chat?query=帮我将李白的《将进酒》全文写入到F:%2FTest目录下的将进酒.txt文件中 进行测试时，example ...
Scientific Research Publishing

Richardson, C. (2018) Microservices Patterns: With Examples in Java. Manning Publications.

ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...
InfoWorld

The journey towards a knowledge graph for generative AI

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...