GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3447233
Abstract: Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to effectively identify and represent node relationships in low-dimensional spaces, enhancing community detection.… read more here.
Keywords: encoder decoder; decoder; based encoder; community ... See more keywords
Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3514868
Abstract: Deep hashing models are employed to efficiently store and swiftly search large-scale datasets where data are high dimensional. Their optimization of the loss function and the non-differentiable sign function can lead to inadequate backpropagation learning,… read more here.
Keywords: efficient similarity; deep hashing; similarity search; gcn based ... See more keywords
FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3214308
Abstract: With the development of the Industrial Internet of Things system, the huge amount of devices, services, and continuous data, making it difficult to discover a trusted service in complex scenarios. To better leverage knowledge and… read more here.
Keywords: recommendation; fgc gcn; service; gcn based ... See more keywords
GCN-Based Multi-Modality Fusion Network for Action Recognition
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3521749
Abstract: Thanks to the remarkably expressive power for depicting structural data, Graph Convolutional Network (GCN) has been extensively adopted for skeleton-based action recognition in recent years. However, GCN is designed to operate on irregular graphs of… read more here.
Keywords: modality; fusion; multi modality; action ... See more keywords
GCN-Based Risk Prediction for Necrosis Slide of Hepatocellular Carcinoma
Sign Up to like & getrecommendations! Published in 2024 at "Studies in health technology and informatics"
DOI: 10.3233/shti231328
Abstract: Hepatocellular carcinoma (HCC) is one of the most common cancers in the world which ranks fourth in cancer deaths. Primary pathological necrosis is an effective prognostic indicator for hepatocellular carcinoma. We propose a GCN-based approach… read more here.
Keywords: necrosis; hepatocellular carcinoma; based risk; gcn based ... See more keywords
Insights into the Photoelectrocatalytic Behavior of gCN-Based Anode Materials Supported on Ni Foams
Sign Up to like & getrecommendations! Published in 2023 at "Nanomaterials"
DOI: 10.3390/nano13061035
Abstract: Graphitic carbon nitride (gCN) is a promising n-type semiconductor widely investigated for photo-assisted water splitting, but less studied for the (photo)electrochemical degradation of aqueous organic pollutants. In these fields, attractive perspectives for advancements are offered… read more here.
Keywords: behavior gcn; water; water splitting; photoelectrocatalytic behavior ... See more keywords
GCN-based stock relations analysis for stock market prediction
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1057
Abstract: Most stock price predictive models merely rely on the target stock’s historical information to forecast future prices, where the linkage effects between stocks are neglected. However, a group of prior studies has shown that the… read more here.
Keywords: stock relations; gcn based; prediction; model ... See more keywords