Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...

Optimized Array Input: Enhanced UI Component for handling array data structures. Visual Selectors: Connection lines for Entity and Asset references to visualize data flow. Bi-directional Sync: ...

Design platform Figma said today that it has acquired AI-powered image and video generation company Weavy. The startup will join Figma under a new brand called Figma Weave. Figma said that 20 people ...

Currently each input and output in a nodegraph is their own separate node. This can complicate nodegraphs with many inputs or outputs. It would be interesting to instead have a single "input" node ...

Update (Sept. 10, 10:35 am UTC): This article has been updated with information throughout. Update (Sept. 10, 11:50 am UTC): This article has been updated to add comments from a Polygon representative ...

Abstract: Node importance estimation involves assigning a global importance score to each node in a graph, pivotal to various subsequent tasks, including recommendation, network dismantling, etc.

Node.js 24 has officially arrived, and it’s bringing a rather tasty selection of improvements to the table. If you’re a developer knee-deep in web apps or wrestling with asynchronous code, this ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...