The power of knowledge graph (The L-CDE project Part 1.)
We believe that the future for cooperation in the construction industry is more based on data and not so much on files.
GraphNews
Ali Syed on LinkedIn: #collaborate #team #leaders
Why is your organization struggling to #collaborate ? Leaders can diagnose team dysfunction by looking for six common patterns. Read 👇🏽 https://lnkd.in...
Paco Nathan on LinkedIn: Exploring Complexity - Graph Data Science Panel - OpenCredo
We are excited to announce that we are running an online panel this November where will explore the foundations of why graphs are the right tool for complexity...
Are knowledge graphs AI’s next big thing?
Mike Tung on the problems with search and the future of knowledge representation
Why graph DB + AI may be the future of data management
Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.
Are knowledge graphs AI’s next big thing?
Mike Tung on the problems with search and the future of knowledge representation
Walid Saba on LinkedIn: A gem - 1000 pages of classic papers on Knowledge Representation, | 10 comments
Visualize Similarities Between Companies With Graph Database
Build and Analyze Graph Database with Neo4j
3D Infomax improves GNNs for Molecular Property Prediction
Our new paper is out! ⚛️🎉 "3D Infomax improves GNNs for Molecular Property Prediction": https://lnkd.in/dKsTjSfj Code to pre-train your own GNN is available...
Knowledge Graph und Künstliche Intelligenz
Ein Knowledge Graph als moderne Form der Datenarchitektur. Gäste werden künftig zunehmend auch sprachbasiert nach Informationen suchen. Die Sprachanfragen werden also mittels Diktierfunktion auf dem Smartphone eingesprochen oder in Form von Fragen an digitale Assistenten wie den Google Assistant oder Alexa von Amazon gerichtet. Bei der
Jure Leskovec on LinkedIn: Overview of OGB-LSC
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...
Creating Clinical Knowledge Graph By Spark NLP & Neo4j
The first end-to-end clinical knowledge graph creation using Spark NLP and Neo4j.
Richard Ahlfeld on LinkedIn: #neuralnetworks #simulation #artificialintelligence | 147 comments
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
SWSA panel - Simia
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...