GitHub

GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks

This is the official implementation of "GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks" published at ICLR 2025. GotenNet introduces a novel framework for modeling 3D molecular ...
GitHub

Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation

This repository contains the official code for our MICCAI 2025 paper, “Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation.” We introduce a discrete diffusion framework that ...
IEEE

3D Whole-Body Pose Estimation Using Graph High-Resolution Network for Humanoid Robot ...

Abstract: In the realm of robotics, teleoperation plays a pivotal role in performing high-risk or intricate tasks, and obtaining precise 3D whole-body pose is crucial for this purpose. Traditional two ...
IEEE

Trans-LGS: Transformer-Based Local Graph Structure for 3D Object Detection in Autonomous ...

Abstract: As intelligent and interconnected vehicles continue to progress, the importance of 3D LiDAR sensors in traffic perception is increasing. Accurate 3D object detection in point clouds is ...

Intel’s Panther Lake points to a future where integrated graphics doesn’t suck

Intel’s Core Ultra Series 3 platform, Panther Lake, and its champion, the Core Ultra X9 388H microprocessor, offer something unique: powerful, gaming-class 3D performance with battery life that’s ...