Description
Diffusion-convolutional neural networks (DCNN) is a model for graph-structured data. Through the introduction of a diffusion-convolution operation, diffusion-based representations can be learned from graph structured data and used as an effective basis for node classification.
Description and image from: Diffusion-Convolutional Neural Networks
Papers Using This Method
Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant2025-06-10Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology2025-06-04ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks2025-05-05Multi-visual modality micro drone-based structural damage detection2025-01-15Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers2025-01-12A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities2024-12-20Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization2024-11-25Electrostatic Force Regularization for Neural Structured Pruning2024-11-17On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks2024-11-15On filter design in deep convolutional neural network2024-10-29Research on gesture recognition method based on SEDCNN-SVM2024-10-24Connectivity-Inspired Network for Context-Aware Recognition2024-09-06ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds2024-08-22Convolutional Neural Network Approach for Emitter Association using Channel Identification in a MIMO System based on Propagation Features2024-08-19An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT2024-06-21Enhancing Understanding Through Wildlife Re-Identification2024-05-17DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects2024-05-07Efficient Higher-order Convolution for Small Kernels in Deep Learning2024-04-25Physics-based reward driven image analysis in microscopy2024-04-22Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices2024-03-29