Learning adaptive neighborhoods for graph neural networks

Learning adaptive neighborhoods for graph neural networks

Graph convolutional networks (GCNs) enable end-to-end learning on graph structured data. However, many works assume a given graph structure. When the input graph is noisy or unavailable, one approach is to construct or learn a latent graph structure. These methods typically fix the choice of node de...

書誌詳細
主要な著者:	Saha, A, Mendez, O, Russell, C, Bowden, R
フォーマット:	Conference item
言語:	English
出版事項:	IEEE 2024

類似資料

Graph Convolutional Network with Adaptive Fusion of Neighborhood Aggregation and Interaction
著者:: FU Kun, ZHUO Jiaming, GUO Yunpeng, LI Jianing, LIU Qi
出版事項: (2023-02-01)

Path-Neighborhood Graphs
著者:: Laskar R.C., 等
出版事項: (2013-09-01)

ATPGNN: Reconstruction of Neighborhood in Graph Neural Networks With Attention-Based Topological Patterns
著者:: Kehao Wang, 等
出版事項: (2021-01-01)

GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION
著者:: S. Zhao, 等
出版事項: (2022-05-01)

Sequence-Aware Graph Neural Network Incorporating Neighborhood Information for Session-Based Recommendation
著者:: Liya Huang, 等
出版事項: (2024-02-01)

AFGN: Adaptive Filtering Graph Neural Network for Few-Shot Learning
著者:: Qi Tan, 等
出版事項: (2024-10-01)

Ransomware Detection Model Based on Adaptive Graph Neural Network Learning
著者:: Jun Li, 等
出版事項: (2024-05-01)

Minimum Neighborhood Domination of Split Graph of Graphs
著者:: ANJALINE. W, 等
出版事項: (2023-03-01)

AAGCN: a graph convolutional neural network with adaptive feature and topology learning
著者:: Bin Wang, 等
出版事項: (2024-05-01)

The Neighborhood Polynomial of Chordal Graphs
著者:: Helena Bergold, 等
出版事項: (2022-05-01)

Graph Operations and Neighborhood Polynomials
著者:: Alipour Maryam, 等
出版事項: (2021-08-01)

Graph Exponentiation and Neighborhood Reconstruction
著者:: Hammack Richard H.
出版事項: (2021-02-01)

Multiscale Global Adaptive Attention Graph Neural Network
著者:: GOU Ruru, YANG Wenzhu, LUO Zifei, YUAN Yunfeng
出版事項: (2023-12-01)

Federated learning for graph neural networks
著者:: Yan, Yige
出版事項: (2023)

An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection
著者:: Tao Xing, 等
出版事項: (2024-11-01)

Deep learning with knowledge graphs using graph neural networks
著者:: Liu, S
出版事項: (2024)

Graph Neural Network Learning on the Pediatric Structural Connectome
著者:: Anand Srinivasan, 等
出版事項: (2025-01-01)

Graphs of Neighborhood Metric Dimension Two
著者:: Badekara Sooryanarayana, 等
出版事項: (2021-06-01)

On open neighborhood locating-dominating in graphs
著者:: Mustapha Chellali, 等
出版事項: (2014-10-01)

Graph convolutional network for fMRI analysis based on connectivity neighborhood
著者:: Lebo Wang, 等
出版事項: (2021-02-01)

Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification
著者:: Jairo Orozco, 等
出版事項: (2023-03-01)

On classes of neighborhood resolving sets of a graph
著者:: B. Sooryanarayana, 等
出版事項: (2018-04-01)

Learning a mixture of graph neural networks
著者:: Lai, Yu-Shiang
出版事項: (2023)

Contrastive learning for heterogeneous graph neural networks
著者:: Dong, Renzhi
出版事項: (2023)

GRAPH NEURAL NETWORK LEARNING IN LARGE GRAPHS - A CRITICAL REVIEW
著者:: Ashish Gavande, 等
出版事項: (2021-07-01)

An End-to-End Multiplex Graph Neural Network for Graph Representation Learning
著者:: Yanyan Liang, 等
出版事項: (2021-01-01)

Neural network algorithms optimizing the development of residential neighborhoods
著者:: Prokhorov Vitalii, 等
出版事項: (2024-01-01)

Prediction of protein–protein interaction using graph neural networks
著者:: Kanchan Jha, 等
出版事項: (2022-05-01)

Graph neural network with knowledge graph
著者:: Ang, Qi Xuan
出版事項: (2020)

A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection
著者:: Akram Ali Ali Guail, 等
出版事項: (2022-04-01)

Novel Graph Neighborhoods Emerging from Ideals
著者:: Ayşegül Çaksu Güler, 等
出版事項: (2023-05-01)

Graphs with Unique Maximum Packing of Closed Neighborhoods
著者:: Božović Dragana, 等
出版事項: (2022-08-01)

Polymer graph neural networks for multitask property learning
著者:: Owen Queen, 等
出版事項: (2023-05-01)

The common minimal common neighborhood dominating signed graphs
著者:: Kavita S Permi, 等
出版事項: (2013-03-01)

Learning Weight Signed Network Embedding with Graph Neural Networks
著者:: Zekun Lu, 等
出版事項: (2023-02-01)

Graph Neural Networks for Mesh Generation and Adaptation in Structural and Fluid Mechanics
著者:: Ugo Pelissier, 等
出版事項: (2024-09-01)

A Block-Based Adaptive Decoupling Framework for Graph Neural Networks
著者:: Xu Shen, 等
出版事項: (2022-08-01)

Matrix Completion of Adaptive Jumping Graph Neural Networks for Recommendation Systems
著者:: Xiaodong Zhu, 等
出版事項: (2023-01-01)

Adaptive competitive learning neural networks
著者:: Ahmed R. Abas
出版事項: (2013-11-01)

Graph contrast learning for recommendation based on relational graph convolutional neural network
著者:: Xiaoyang Liu, 等
出版事項: (2024-10-01)