GraphNews

Excited to share that our Open Graph Benchmark Large-Scale Challenge (OGB-LSC) paper has been accepted to NeurIPS! We have updated our datasets and released...

The first end-to-end clinical knowledge graph creation using Spark NLP and Neo4j.

Spectacular real-time simulation of complex physics through Neural Networks by a team from Google DeepMind! They do not use physics-informed neural ... 147 comments on LinkedIn

The framework achieves great coverage and performance across different incident triaging scenarios, and also outperforms other state-of-the-art root cause analysis methodologies.

Memgraph, a real-time graph database provider, today announced that it has raised $9.34 million in seed funding led by Microsoft's M12.

The Pandora Papers leak includes a colossal 2.94 terabytes of data. Unravelling the contents was no easy task

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 […]

With organizations struggling to manage growing amounts of data, Gartner predicts adoption of graph technology will increase exponentially by 2025.

Memgraph, the streaming graph application platform, today announced Memgraph 2.0, the public launch of its source-available platform, which makes it easy

When we talk about graph machine learning we always describe graph neural networks, node2vec, or graph2vec algorithms. Another popular approach to learning...

Posted by Ali Kemal Sinop, Senior Research Scientist, Google Research and Mahmuda Ahmed, Senior Software Engineer, Google Maps Design tec...

Operationalizing AI initiatives and data AI are among major trends for CIOs to watch in 2021.

A kind of cognitive framework called graph thinking is circulating through the KGC community. So let’s explore this notion. Also, let’s…

Let’s analyze what is the best data model/structure for our data application. Finishing with the Graph model (NoSQL plus a bit of…

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.

This pattern-driven visualization technique was presented at the Power BI Bootcamp in July 2021. The Bootcamp session walked through the…

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.

Check out Dominique Beaini and myself presenting our paper 'Rethinking Graph Transformers with Spectral Attention'! Link to video: https://lnkd.in/eygEpjsQ...

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...

I had a relatively hard time understanding Graph Neural Networks at first. Graph convolutional networks are based on graph spectral theory, which is not...

Machine Learning on Graphs: A Model and Comprehensive Taxonomy (https://lnkd.in/gASeEGRW) is an amazing paper that provides a taxonomy of the different...

Most demand forecasting algorithms are based on past consumption / offer pricing / safety stock etc. attributes. These algorithms do not fully model real-world...

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Understanding the building blocks and design choices of graph neural networks.

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...

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...

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…