GitHub

nju-websoft/KG-ICL

Extensive knowledge graphs (KGs) have been constructed to facilitate knowledge-driven tasks across various scenarios. However, existing work usually develops separate reasoning models for different ...
IEEE

A Graph Neural Network-Based Recommendation System for Product Manufacturing Information in 3D-CAD Models

Abstract: Product Manufacturing Information is the key element in the digital transformation of manufacturing. It facilitates the transition from 2D drawing-based workflows to 3D model-based workflows ...
Frontiers

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
IEEE

Compression Framework for Light 3D Scene Graph Generation via Pruning-As-Search and Distillation

Abstract: 3D scene graph generation (3DSGG), which involves classifying objects and predicates, is an emerging topic in 3D scene understanding. Recent studies leveraging graph neural networks (GNNs) ...
GitHub

InfraNodus Advanced Graph View Plugin for Obsidian

Based on InfraNodus AI text analysis and visualization tool, this plugin visualizes the content of Obsidian vaults as a knowledge graph, retrieves the main topical clusters, most important ideas, and ...
techxplore

An AI approach for single-image-based 3D character animation with preserved proportions

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a ...