An official source code for paper CONVERT:Contrastive Graph Clustering with Reliable Augmentation, accepted by ACM MM 23. Any communications or issues are welcomed. Please contact xihong_edu@163.com.

Put that stylus to work!

This repository contains the author's implementation in PyTorch for the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating ...

Metamaterials—materials whose properties are primarily dictated by their internal microstructure, and not their chemical ...

Metamaterials - materials whose properties are primarily dictated by their internal microstructure, and not their chemical makeup - have been ...

Abstract: 3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, these ...

Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...