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.

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

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 ...

November 18, 2024 Add as a preferred source on Google Add as a preferred source on Google In Apple's great 2024 software refresh—specifically iOS 18, iPadOS 18, and macOS 15 Sequoia—a new tool called ...

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 ...

Next, we will implement the insert method. This method will take a value as an argument, and insert a new node with that value into the tree. We start by creating a new node with the given value. If ...