Implement a feature that visualizes rule dependency graphs in the RulesEngine administration portal and/or API. This will help users understand how rules and workflows interconnect, making it easier ...
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 ...
The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...
A tweet from the official Democratic Party’s X account was ridiculed on Thursday after inadvertently showing prices skyrocketing under former President Joe Biden. The post attempted to describe rising ...
Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Aspect-oriented sentiment analysis is a meticulous sentiment analysis task that aims to analyse the sentiment polarity of specific aspects. Most of the current research builds graph convolutional ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
- 2025-01-20: We've updated the graph to include more seed nodes (and edges). You can still view the V1 graph data here. The Deep Funding project involves analyzing a depth-2 directed graph of ...
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