Abstract: In recent years, reconstructing features and learning node representations by graph autoencoders (GAE) have attracted much attention in deep graph node clustering. However, existing works ...

Abstract: Graph data modeling is nontrivial due to the challenges to ensure model interpretability and handle data uncertainty. While methods derived from deep learning models, such as graph neural ...

Edge & Node, the team that created The Graph, has launched ampersend, a management platform for coordinating how autonomous AI agents operate and transact, the company said on Thursday. Built on ...

There should be a custom config for defining threshold value of embedding match during fetching of a shortest node while ingesting a new node in graph using mem0. This will help for different usecases ...

I'd like to request the plot graph beta node (used with the Train LoRA beta node) doesn't scale on the y-axis which it currently does. It makes it very hard to compare previous/current runs against ...

The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...

In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...

Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. It was dawn and we were in Sunland Park, New Mexico, a few hundred feet from the ...