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Artificial Intelligence
Graph Machine Learning: An Overview What are Graphs? What’s Graph Machine Learning (GML)? How Compression is Key to GML Find out how to Accomplish Compression? — Graph Machine...
Demystifying Graph Neural Networks — Part 1Key concepts for getting beganA GNN is a neural network model that takes graph data as input, transforms it into intermediate embeddings, and feeds the embeddings to a...
Artificial Intelligence
Neural Graph Databases Outline: Neural Graph Databases: What and Why? The Blueprint of NGDBs Neural Graph Storage Neural Query Engine A Taxonomy of Neural Graph Reasoning for Query Engines Open Challenges...
What’s Latest in Graph ML?A latest milestone in graph data managementWe introduce the concept of Neural Graph Databases as the subsequent step within the evolution of graph databases. Tailored for giant incomplete graphs and...
Artificial Intelligence
A Comprehensive Introduction to Graph Neural Networks
Graph Neural Networks (GNNs) are a form of neural network designed to operate on graph-structured data. Lately, there was a major amount of research in the sector of GNNs, they usually have been successfully...
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