Results 271 to 280 of about 5,698,498 (295)

Explainability Methods for Graph Convolutional Neural Networks

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
With the growing use of graph convolutional neural networks (GCNNs) comes the need for explainability. In this paper, we introduce explainability methods for GCNNs. We develop the graph analogues of three prominent explainability methods for convolutional neural networks: contrastive gradient-based (CG) saliency maps, Class Activation Mapping (CAM ...
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann   +4 more
openaire   +1 more source

Neighborhood convolutional graph neural network

Knowledge-Based Systems, 2023
Jinsong Chen 0002, Boyu Li 0003, Kun He 0001   +2 more
openaire   +1 more source

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

IEEE Transactions on Image Processing, 2022
Liangpei Zhang, Bo Du, Yanni Dong
exaly  

A novel graph convolutional feature based convolutional neural network for stock trend prediction

Information Sciences, 2021
Zhensong Chen, Wei-Guo Zhang, Manrui Jiang   +2 more
exaly  

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

Information Fusion, 2021
Juan M. Gorriz, Xin Zhang, Yudong Zhang
exaly  

CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis

IEEE Transactions on Cognitive and Developmental Systems, 2021
Bao Liu, Dongbin Zhao
exaly  

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

Information Processing and Management, 2021
Juan M. Gorriz, Suresh Chandra Satapathy, Yudong Zhang   +2 more
exaly  

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

IEEE Transactions on Intelligent Transportation Systems, 2020
Ruimin Ke, Kristian Henrickson, Yinhai Wang   +2 more
exaly  

A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems

Mechanical Systems and Signal Processing, 2023
Qing Ni, Michael Beer, Hongtian Chen
exaly  

Identifying drug-target interactions based on graph convolutional network and deep neural network.

Briefings in Bioinformatics, 2021
Jiajie Peng, Tianyi Zang, Tianyi Zhao
exaly