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Found 5 papers, 3 papers with code
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Despite remarkable success in diverse web-based applications, Graph Neural Networks(GNNs) inherit and further exacerbate historical discrimination and social stereotypes, which critically hinder their deployments in high-stake domains such as online clinical diagnosis, financial crediting, etc.
Preserving Tumor Volumes for Unsupervised Medical Image Registration
Our approach balances image similarity and volume preservation in different regions, i. e., normal and tumor regions, by using soft tumor masks to adjust the imposition of volume-preserving loss on each one.
Multi-Grained Angle Representation for Remote Sensing Object Detection
The existing AOOD methods face the challenges of ambiguity and high costs in angle representation.
Molecular Attributes Transfer from Non-Parallel Data
Optimizing chemical molecules for desired properties lies at the core of drug development.
Learning Attributed Graph Representations with Communicative Message Passing Transformer
For this sake, we propose a Communicative Message Passing Transformer (CoMPT) neural network to improve the molecular graph representation by reinforcing message interactions between nodes and edges based on the Transformer architecture.
