IEEE

Kolmogorov-Arnold Networks for Graph Isomorphism and Complex Representation

This study proposes KGI, a novel graph isomorphism network that integrates Kolmogorov-Arnold Networks (KAN) into graph representation learning. Unlike traditional Graph Isomorphism Networks (GIN) that ...
IEEE

Application of Sub-Graph Isomorphism to Extract Reoccurring Structures from BPMN 2.0 Process Models

Abstract: The state-of-art approaches in structural similarities of process models base their operations on behavioral data and text semantics. These data is usually missing from mock-up or obfuscated ...
GitHub

ML SDK Scenario Runner

The Scenario Runner is an application that executes shader and neural network graph workloads through Vulkan® or the ML extensions for Vulkan®. The Scenario Runner acts as a validation and performance ...
blockchain

Graph-Enhanced Retrieval Surpasses Basic RAG: AI Leaders like OpenAI, Anthropic, and Microsoft Adopt Knowledge Graphs for Advanced AI Applications

According to God of Prompt (@godofprompt), top engineers at AI companies such as OpenAI, Anthropic, and Microsoft are moving beyond basic Retrieval-Augmented Generation (RAG) by prioritizing ...
Frontiers

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...