Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural network. by Julian Ng-Kee-Kwong, Andrew D Bretherick

“…We encode their co-association across the genome using PinSage, a graph convolutional neural network-based recommender system previously deployed at Pinterest. …”
Get full text

PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions by Yash Semlani, Mihir Relan, Krithik Ramesh

“…To learn best from this representation, we design Particle Chebyshev Network (PCN), a graph neural network (GNN) using Chebyshev graph convolutions (ChebConv). …”
Get full text

Correlations between an Urban Three-Dimensional Pedestrian Network and Service Industry Layouts Based on Graph Convolutional Neural Networks: A Case Study of Xinjiekou, Nanjing by Xinyu Hu, Ruxia Bai, Chen Li, Beixiang Shi, Hui Wang

Subjects: Get full text

Triangular Mesh Surface Subdivision Based on Graph Neural Network by Guojun Chen, Rongji Wang

Subjects: Get full text

Dynamic Graph Attention Network for Skeleton-Based Action Recognition by Zhenhua Li, Fanjia Li, Gang Hua

Subjects: Get full text

A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and Image Similarity by Liting Jing, Chenlong Zhou, Di Feng, Yubo Dou, Xiaoyan Fan, Shaofei Jiang

Subjects: Get full text

An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

Subjects: Get full text

Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

Subjects: “…traffic prediction;graph neural networks;spatial-temporal correlation;synchronous convolution;graph at-tention networks…”
Get full text

Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

Subjects: Get full text

VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

Subjects: Get full text

AsGCL: Attentive and Simple Graph Contrastive Learning for Recommendation by Jie Li, Changchun Yang

Subjects: Get full text

Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting by Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee

Subjects: “…graph convolutional neural network…”
Get full text

GDSN-CD: Graph-Guided Diffusion Synergistic Network for Remote Sensing Change Detection by Yunfei Zhu, Jintao Song, Jinjiang Li

“…To address this issue, this article innovatively combines the advantages of graph convolutional networks and diffusion models. …”
Get full text

Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology by Zhifeng Wei, Hongyan Wang, Qiang Xu, Yi Qu, Wei Xing

Get full text

Graph convolutional network model with a feature compensation module and dual-channel second-order pooling module for multimodal emotion recognition in conversation by Xiaocong Tan, Zhengze Gong, Mengkun Gan, Weijie Xie, Wenhui Wang

Subjects: Get full text

PM2.5 prediction and its influencing factors in the Beijing-Tianjin-Hebei urban agglomeration using spatial temporal graph convolutional networks by Yawen Zhao

“…To address this, this study uses spatiotemporal analysis and Spatial Temporal Graph Convolutional Networks (ST-GCN) to evaluate the variation and driving factors of PM _2.5 concentrations in the Beijing-Tianjin-Hebei (BTH) urban agglomeration from 2014 to 2024, and to make predictions. …”
Get full text

Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

Subjects: Get full text

Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

Subjects: Get full text

Discovery of novel VEGFR2 inhibitors against non-small cell lung cancer based on fingerprint-enhanced graph attention convolutional network by Zixiao Wang, Lili Sun, Yu Xu, Jing Huang, Fang Yang, Yu Chang

“…This study aims to develop a novel fingerprint-enhanced graph attention convolutional network (FnGATGCN) model for predicting the activity of anti-NSCLC drugs. …”
Get full text

A Hybrid Long Short-Term Memory-Graph Convolutional Network Model for Enhanced Stock Return Prediction: Integrating Temporal and Spatial Dependencies by Songze Shi, Fan Li, Wei Li

“…This study proposes a hybrid model integrating long short-term memory (LSTM) networks and graph convolutional networks (GCNs) to enhance accuracy by capturing both temporal dynamics and spatial inter-stock relationships. …”
Get full text