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This solvent-free process makes graphene both conductive and easy to disperse

Graphene has dazzled scientists for years with its extreme strength, thinness, and ability to carry electrical current with almost no resistance. However, outside the laboratory, this miracle material ...
IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
IEEE

Spatial–Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive ...
GitHub

KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

This repository contains the implementation of the paper "KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation". In this paper, we introduce enhanced KGC using ...
GitHub

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis

We introduce graph Transformer into text representation learning and apply it to the ABSA task. To tightly combine the 2 text learning processes in graph view and sequence view, we propose a novel ...