GitHub

Source code of our NeurIPS 2025 paper "Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework"

python==3.10.14 torch==2.3.1+cu121 --index-url https://download.pytorch.org/whl/cu121 ogb==1.3.6 torch-geometric==2.5.3 torch-scatter==2.1.2+pt23cu121 --index-url ...
TechSpot

Hiroshima scientists crack the code for 3D printing tungsten carbide

In a nutshell: In a breakthrough that could reshape how tools for harsh environments are made, scientists at Hiroshima University have developed a method to 3D print one of the toughest materials used ...
IEEE

Multi-granularity Superpoint Graph Learning for Weakly Supervised 3D Semantic Segmentation

Abstract: Weakly supervised 3D semantic segmentation has proven effective in alleviating the heavy dependence on dense annotations by generating high-quality pseudo-labels. However, due to the scene ...
GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
IEEE

MIMO Radar System Based on Physical Random Code for 3D Multi-Target Imaging

Abstract: A physical random code (PRC) multiple-input multiple-output (MIMO) radar system is proposed and experimentally demonstrated for three-dimensional (3D) multi-target imaging. The radar system ...