IEEE

Parallelly Adaptive Graph Convolutional Clustering Model

Abstract: Benefiting from exploiting the data topological structure, graph convolutional network (GCN) has made considerable improvements in processing clustering tasks. The performance of GCN ...
IEEE

Enhanced Syntactic and Semantic Graph Convolutional Network With Contrastive Learning for Aspect-Based Sentiment Analysis

Abstract: Aspect-based sentiment analysis (ABSA) aims to predict the sentiment polarity of a given specific aspect in the sentence. Recent studies focus on leveraging graph convolutional neural ...
GitHub

gongchenghua/Papers-Graphs-with-Heterophily

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
Frontiers

GAESA-iFormer: A Graph Attention-Enhanced Scale-Aware Inverted Transformer for Performance Characterization of Aircraft Engine Compressors

The GAT encoder explicitly models relational dependencies among neighboring operating points along each speed line, capturing local continuity while reducing computational complexity. The MSFE module ...
www.cs.cmu.edu

Tom Mitchell

What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...
GitHub

Xnhyacinth/Awesome-LLM-Long-Context-Modeling

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...