GitHub

Knowledge graph-enhanced molecular contrastive learning with functional prompt

This repository is the official implementation of KANO, which is model proposed in a paper: Knowledge graph-enhanced molecular contrastive learning with functional prompt. Firstly, we construct a ...
GitHub

Graph Neural Networks for the prediction of infinite dilution activity coefficients

This repository contains the training routines and the experiments presented in the paper Graph Neural Networks for the prediction of infinite dilution activity coefficients. @Article{D1DD00037C, ...
IEEE

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...
IEEE

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering

Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations ...