Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...

Getting a handle on LeetCode can feel like a big task, especially when you’re starting out. But with the right approach and tools, it becomes much more manageable. Python, with its clear syntax and ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Iterable, the AI-powered communication platform, today announced a partnership with Petszel, a fast-growing innovator in pet care technology, to transform post-adoption communication. Petszel will ...

Crabviz is great for seeing call graphs, thanks for the tool! One issue: when using Python decorators (like @decorator), the decorators themselves don’t show up in the call graphs. The graph skips how ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...

The Graph is in a continuous downtrend with prices not respecting any support levels. Investors are keen to know if this token which claims to have strong fundamentals, has the capacity to recover in ...