Try NeoDash: NeoDash Online Demo GraphXR GraphXR is a start-to-finish web-based visualization platform for interactive analytics. For technical users, it’s a highly flexible and extensible environment for conducting ad hoc analysis. For business users, it’s an intuitive tool for code-free inve...
A similar process exists in graph data modeling, as well. However, instead of modifying the data model to fit a normalized table structure, the graph data model stays exactly as it was drawn on the whiteboard. This is where the graph data model gets its name for beingwhiteboard-friendly. L...
The graph and network theory as a tool to model and simulate the dynamics of infectious diseasesinfectious diseasessimulationsocial networksIn this paper, we consider the utilization of the graph and network theory in the field of modeling and simulating the dynamics of infectious diseases. We ...
Combining Self-Organizing and Graph Neural Networks for Modeling Deformable Objects in Robotic Manipulation, Frotiers in Robotics and AI,Valencia, Angel J., and Pierre Payeur Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks, Pattern ...
Graph transformation systems support the formal modeling of dynamic, concurrent, and distributed systems. States are given by their graphical structure, and transitions are modeled by graph transformation rules. In this paper we investig... M Gro?E-Rhode,F Parisi-Presicce,M Simeoni - Springer Berl...
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AI-driven predictive modeling for what-if analysis Real-time notifications via Slack channels Pros: Simple to set up and use Easy connection to data sources Use of artificial intelligence and machine learning for granular insights Cons: Can slow down when performing complex analyses ...
We further conclude that graph transformation specification is an efficient modeling solution to behavioral testing and graph transformation tools have a great potential for developing a model-based testing tool. Introduction Software testing is the most widely used quality assurance measure in software ...
both molecules and crystals (see"Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals"[2]). New releases have included our recent work on multi-fidelity materials property modeling (See"Learning properties of ordered and disordered materials from multi-fidelity data"[3...
Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. Link Luo G, Zhang H, Yuan Q, et al. One Size Fits All: A Unified Traffic Predictor for ...