IEEE

TDGNet: Two different graph convolutional networks for approximate subgraph matching

Abstract: Subgraph matching is a fundamental problem with applications across various domains, involving the identification of a query graph within a larger target graph. Graph Neural Networks (GNNs) ...
Hosted on MSN

Determining undefined slope from a graph positive

👉 Learn how to find the rate of change from a graph. The rate of change is the rate at which y-values are changing with respect to the change in x-values. To determine the rate of change from a graph ...
Hosted on MSN

Determining slope of zero from a graph positive

👉 Learn how to find the rate of change from graph. The rate of change is the rate at which y-values are changing with respect to the change in x-values. To determine the rate of change from a graph, ...
VentureBeat

Microsoft announces Copilot Cowork with help from Anthropic — a cloud-powered AI agent that works across M365 apps

If you thought Anthropic was about to run away with the enterprise AI business...you're not totally off the mark, actually. Copilot Cowork is the centerpiece of what Microsoft is calling "Wave 3" of ...
Business Insider

Worried that AI might replace you? Check out this graph from Anthropic showing the jobs most at risk

Every time Brent D. Griffiths publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails ...
EurekAlert!

Graph transformer model advances disease comorbidity prediction with subgraph-aware encoding

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
dbta

Memgraph’s Atomic GraphRAG Speeds Up the Use of Graph-Based RAG Across Multiple Data Sources

Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...
IEEE

Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection

Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from others in a graph dataset. Existing methods predominantly rely on standard Graph Neural Networks ...
InfoWorld

PythoC: A new way to generate C code from Python

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...
InfoQ

Reddit Migrates Comment Backend from Python to Go Microservice to Halve Latency

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Search Engine Land

Entity-first SEO: How to align content with Google’s Knowledge Graph

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...