GitHub

Neo4j Graph Data Science Client

graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...
GitHub

Graph Transformer for Label Placement

This repository is the implementation of the paper: Jingwei Qu, Pingshun Zhang, Enyu Che, Yinan Chen, and Haibin Ling. Graph Transformer for Label Placement. TVCG, 2025. It contains the training and ...
IEEE

Scene-based Graph Convolutional Networks for Federated Multi-Label Classification

Abstract: Federated multi-label learning can collaboratively train multi-label classification models without compromising user privacy. Compared to multi-class learning, one of the most critical ...
IEEE

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

Abstract: Multi-label image recognition aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image contents and labels, and ...