Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from others in a graph dataset. Existing methods predominantly rely on standard Graph Neural Networks ...
In this tutorial, we implement the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical knowledge graphs using the BioCypher framework. By combining the ...
ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...
A simple fake volumetric light shader effect. It was created for Serious Point Games as part of my studies in shader development. It was created for Unity 6 URP (6000.0.58f1) but it can work in other ...
Abstract: Subgraph counting aims to count over a large graph subgraphs matching a given shape (e.g., triangle), which plays an important role in various social graph analytics applications such as ...
The new service will make it easier for mid-tier or small-tier subgraphs to be indexed and discovered. Blockchain data provider Chainstack has launched a hosted service for collections of Web3 data ...
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