Building a knowledge graph is a task that has been done for a long time with NLP techniques. However LLMs facilitate the creation of such graphs thanks to their capacity to process text.

Fluent, Inc. Unveils Enhanced Identity Graph to Power Smarter Personalization and Campaign Performance. Fluent, Inc. Tue, Apr 15, 2025, 8:30 AM 3 min read.

TigerGraph has been touting some benchmarks that compare its performance to several other graph databases (Neo4j, Amazon Neptune, JanusGraph, and ArangoDB) for tests of data loading time and graph ...

As if running on Power8 servers wasn’t news enough, Neo also announced that it’s contributing its graph query language, Cypher, into the open source realm. “Up until now it’s been something that’s ...

Deep learning models have been widely adopted in many application domains. Predicting the runtime performance of deep learning models, such as GPU memory consumption and training time, is important ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

A new form of data visualization created by a Joyent engineer can help administrators pinpoint CPU and memory resource hogs The person who became known on the Internet for yelling at servers is ...

In this paper, we introduce CBAT, a novel method for temporal electric charge load prediction that integrates bidirectional LSTM and a graph attention mechanism. The bidirectional LSTM module captures ...

The widespread penetration of advanced metering infrastructure brings an opportunity to detect electricity theft by analyzing the electricity consumption data collected from smart meters. However, ...

Among all the game stats that I monitor, the Frame Time Graph is the one that I keep going back to time and time again to fine tune my performance. Here’s why that is… The importance of frame time ...