IEEE

Graph Representation Learning Based on Cognitive Spreading Activations

Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...
IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
GitHub

SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations

This repository contains the official implementation code for SCAIL (Studio-Grade Character Animation via In-Context Learning), a framework that enables high-fidelity character animation under diverse ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...