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Groot: eBay’s Event-graph-based Approach for Root Cause Analysis
The framework achieves great coverage and performance across different incident triaging scenarios, and also outperforms other state-of-the-art root cause analysis methodologies.
Graph database company Memgraph raises $9.34M
Memgraph, a real-time graph database provider, today announced that it has raised $9.34 million in seed funding led by Microsoft's M12.
How the secrets of the Pandora Papers were freed
The Pandora Papers leak includes a colossal 2.94 terabytes of data. Unravelling the contents was no easy task
SWSA panel
Quick, Easy, and Flexible Data Model Diagrams
Click to learn more about author Thomas Frisendal. Many of us have a lot to do. And we have short delivery cycles, sprints, and a lot of peers to share data models with. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs? Stay with us on a […]
Gartner predicts exponential growth of graph technology
With organizations struggling to manage growing amounts of data, Gartner predicts adoption of graph technology will increase exponentially by 2025.
London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
Memgraph, the streaming graph application platform, today announced Memgraph 2.0, the public launch of its source-available platform, which makes it easy
Claudio Stamile on LinkedIn: #machinelearning #ai #datascience
When we talk about graph machine learning we always describe graph neural networks, node2vec, or graph2vec algorithms. Another popular approach to learning...
Efficient Partitioning of Road Networks
Posted by Ali Kemal Sinop, Senior Research Scientist, Google Research and Mahmuda Ahmed, Senior Software Engineer, Google Maps Design tec...
The 4 Trends That Prevail on the Gartner Hype Cycle for AI, 2021
Operationalizing AI initiatives and data AI are among major trends for CIOs to watch in 2021.
Graph Thinking
A kind of cognitive framework called graph thinking is circulating through the KGC community. So let’s explore this notion. Also, let’s…
Relational 🆚 Document 🆚 Graph — Part 3
Let’s analyze what is the best data model/structure for our data application. Finishing with the Graph model (NoSQL plus a bit of…
PathQL: Intelligently finding knowledge as a path through a maze of facts
I would suggest that Google does not have its own intelligence. If I search for, say, ‘Arnold Schwarzenegger and Harvard’, Google will only suggest documents that contain BOTH Arnold Schwarzenegger and Harvard.
Pattern-Driven Insights: Visualize Stock Volume Similarity with Neo4j and Power BI
This pattern-driven visualization technique was presented at the Power BI Bootcamp in July 2021. The Bootcamp session walked through the…
Why knowledge graphs are key to working with data efficiently, powerfully
Knowledge graphs help in organizing unstructured data in a way that information can easily be extracted where explicit relations between multiple entities help in the process.
Devin Kreuzer on LinkedIn: Rethinking Graph Transformers with Spectral Attention | Researchers
Check out Dominique Beaini and myself presenting our paper 'Rethinking Graph Transformers with Spectral Attention'! Link to video: https://lnkd.in/eygEpjsQ...
Knowledge Graph Perspectives: building bridges from RDF to LPG
Knowledge Graphs (KGs) have become one of the most powerful tools for modeling the relations between entities in various fields, from biotech to e-comme...
Sergios Karagiannakos on LinkedIn: Best Graph Neural Network architectures: GCN, GAT, MPNN and more
I had a relatively hard time understanding Graph Neural Networks at first. Graph convolutional networks are based on graph spectral theory, which is not...
Claudio Stamile on LinkedIn: #machinelearning #ai #datascience
Machine Learning on Graphs: A Model and Comprehensive Taxonomy (https://lnkd.in/gASeEGRW) is an amazing paper that provides a taxonomy of the different...
Lalit Wadhwa on LinkedIn: #demandforecasting #timeseriesanalysis #graphs
Most demand forecasting algorithms are based on past consumption / offer pricing / safety stock etc. attributes. These algorithms do not fully model real-world...
Inoreader - Take back control of your news feed
One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Follow RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.
Understanding Convolutions on Graphs
Understanding the building blocks and design choices of graph neural networks.
Mike Dillinger, PhD on LinkedIn: As part of the Concordia 2021 Annual Summit, U.S. Special Presidential
As part of the Concordia 2021 Annual Summit, U.S. Special Presidential Envoy for Climate John Kerry sits down with LinkedIn CEO Ryan Roslansky and Vice...
Claudio Stamile on LinkedIn: #machinelearning #ai #datascience
Kelvin Lawrence on LinkedIn: #machinelearning #datascience #ai
Very glad to announce that our paper on scalable graph neural networks for dynamic graphs has been accepted by the top conference in the supercomputing...
Java 17: Explore the Newly-Released Java Version in a Graph Database!
I’ve recently been playing around with a JDK data set, and with the release of Java 17 today, I wanted to explore this data set in a graph…
Data Management Strategy Is More Strategic than You Think
Data management strategy is boring, right? More to the point, it’s a solved problem. The relational model, SQL, and data warehouses date to the 1980s. I mean, what could be less strategic than the “what,” “how,” and “why” of an enterprise data management strategy? Build some pipelines and ETL jobs. Define a relational schema to…
Is Google Really Indexing My Structured Data Markup?
This might seem like a trivial question at first, but it's not. Before we can evaluate whether a particular markup is actually helping Google understand the content of a web page, we need to make sure that Google can crawl and index its markup.
First GQL research implementation from Olof Morra at TU Eindhoven!