Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

Abstract: Dynamic Graph Neural Networks (GNNs) combine temporal information with GNNs to capture structural, temporal, and contextual relationships in dynamic graphs simultaneously, leading to ...

Jacob Holm was flipping through proofs from an October 2019 research paper he and colleague Eva Rotenberg—an associate professor in the department of applied mathematics and computer science at the ...

I'm about to start with a small hobby project of mine that I've been thinking about for a long time. In short, it will consist of two parts: gather data and visualize data. I would like to visualize ...

Feature: An interactive visualizer for linked lists that allows users to create, modify, and delete nodes, as well as visualize the structure dynamically. Graph Visualizer Feature: A tool to visualize ...

Dynamic Scene Editing in Waymo S-203. Ground Truth (top) vs. NAG Edits (bottom) across four frames. The final column shows the texture source (bottom) and removed objects (top). Note the realistic, ...