Unlock AI Power Locally: Learn How to Create an Agent with LangGraph and Ollama

Learn how to build cost-effective AI agents locally with LangGraph and Ollama. Step-by-step guide using lightweight, free ...
IEEE

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...
Monash University

Polynomials and power functions

Polynomials and power functions are the foundation for modelling non-linear relationships. Polynomial functions such as quadratic, cubic and quartic model variables raised to exponents of different ...
Frontiers

Which Task Characteristics Do Students Rely on When They Evaluate Their Abilities to Solve Linear Function Tasks? – A Task-Specific Assessment of Self-Efficacy

1 University of Education Freiburg, Freiburg im Breisgau, Germany 2 University of Education Ludwigsburg, Ludwigsburg, Germany Empirical studies find that the correlations between self-efficacy, when ...
IEEE

Graph Linear Canonical Transform: Definition, Vertex-Frequency Analysis and Filter Design

Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...
SiliconANGLE

Neo4j integrates dozens of graph analytics functions with data in Snowflake

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...
GitHub

Provide shader functions for converting between srgb and linear

Some effects can benefit from being done in either linear or srgb space. In addition, not all cases of needing a linear or srgb color result/input are handled by the source_color. Mainly color ...