Search Results - graph encoder and decoder

CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification by Liu, Qichao, Xiao, Liang, Yang, Jingxiang, Wei, Zhihui

“…Recently, the graph convolutional network (GCN) has drawn increasing attention in the hyperspectral image (HSI) classification…”
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STAGED: A Spatial-Temporal Aware Graph Encoder-Decoder for Fault Diagnosis in Industrial Processes by Li, Shizhong, Meng, Wenchao, He, Shibo, Bi, Jichao, Liu, Guanglun

“… In this article, we propose an unsupervised spatial-temporal aware graph encoder-decoder (STAGED) model for industrial fault diagnosis…”
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CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model by Shang, Jiayu, Sun, Yanni

“… The state-of-the-art methods can only achieve 43% accuracy at the species level. In this work, we formulate host prediction as link prediction in a knowledge graph that integrates multiple protein and DNA-based sequence…”
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A graph encoder–decoder network for unsupervised anomaly detection by Mesgaran, Mahsa, Hamza, A. Ben

“… computational complexity and a lack of interpretability in the pooling process. In this paper, we propose an unsupervised graph encoder…”
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Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder–Decoder Network by Wang, Fang, Du, Xingqian, Zhang, Weiguang, Nie, Liang, Wang, Hu, Zhou, Shun, Ma, Jun

“… To address this limitation, we propose a multi-scale graph encoder–decoder network (MGEN) for multi-modal data classification…”
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Encoder–decoder graph neural network for credit card fraud detection by Asma Cherif, Heyfa Ammar, Manal Kalkatawi, Suhair Alshehri, Abdessamad Imine

“… In this work, a prior stage of feature engineering is carried out. Then, the use of the Graph Neural Networks (GNNs…”
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Contextual-Aware Land Cover Classification With U-Shaped Object Graph Neural Network by Zhao, Wenzhi, Peng, Shu, Chen, Jiage, Peng, Rui

“…), which is mainly composed of self-adaptive graph construction (SAGC), hierarchical graph encoder, and decoder…”
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Wi-Fi-Based Human Fall and Activity Recognition Using Transformer-Based Encoder-Decoder and Graph Neural Networks by Cho, Younggeol, Motta, Elisa, Nocentini, Olivia, Lagomarsino, Marta, Merello, Andrea, Crepaldi, Marco, Ajoudani, Arash

“… In this study, we proposed a novel architecture named Transformer-based encoder-decoder network (TED-Net…”
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Consistent Anomaly Detection and Localization of Multivariate Time Series via Cross-Correlation Graph-Based Encoder-Decoder GAN by Liang, Haoran, Song, Lei, Du, Junrong, Li, Xuzhi, Guo, Lili

“…Multivariate time series is widely derived from industrial facilities, such as power plants, manufacturing machines, spacecraft, digital devices, and so on,…”
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REFD:recurrent encoder and fusion decoder for temporal knowledge graph reasoning: REFD:recurrent encoder and fusion decoder by Liu, Qian, Feng, Siling, Huang, MengXing, Bhatti, Uzair Aslam

“… The REFD framework consists of two primary components: a recurrent encoder and a fusion decoder…”
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Auto Graph Encoder-Decoder for Neural Network Pruning by Yu, Sixing, Mazaheri, Arya, Jannesari, Ali

“… We propose an automatic graph encoder-decoder model compression (AGMC) method combined with graph neural networks (GNN…”
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Event Analysis in Transmission Systems Using Spatial Temporal Graph Encoder Decoder (STGED) by Ahmed, Arman, Sadanandan, Sajan K., Pandey, Shikhar, Basumallik, Sagnik, Srivastava, Anurag K., Wu, Yinghui

“…) For event detection, this research proposes a novel unsupervised "Spatial Temporal Graph Encoder Decoder" (STGED…”
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Graph Anomaly Detection via Multi-Scale Reconstruction of Graph Encoder-Decoder Networks by Yu, Jiaqi, Yang, Hong, Zhang, Peng

“…Existing unsupervised graph anomaly detection (GAD) methods can be categorized into reconstruction based methods and contrastive learning based methods…”
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Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network by Yang, Zhifei, Wu, Yan, Li, Ming, Hu, Xin, Li, Zhikang

“… In this paper, we propose a graph-context attention-based siamese encoder–decoder network (GCA-SEDN) for unsupervised change detection in PolSAR images…”
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DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification by Chen, Yang, Xing, Yin, Li, Xiao, Gao, Wei

“… as a representation to describe complex object relationships and an encoder-decoder architecture to capture the multi-scaled point features and describe objects in the high-level feature space…”
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Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery by Wei, Tonglong, Lin, Youfang, Lin, Yan, Guo, Shengnan, Zhang, Lan, Wan, Huaiyu

“…Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users'…”
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Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network by Ke, Jintao, Qin, Xiaoran, Yang, Hai, Zheng, Zhengfei, Zhu, Zheng, Ye, Jieping

“…•Multiple graphs are built to characterize non-Euclidean correlations among OD pairs.•The model ST-ED-RMGC combines residual MGC and LSTM under encoder-decoder structure…”
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Effective message-passing scheme and aggregation technique embedded in graph-based encoder-decoder learning framework for trajectory prediction by Bikram, Pritam, Das, Shubhajyoti, Biswas, Arindam

“… To address this gap, a graph-embedded learning framework is proposed for precisely capturing spatiotemporal information to forecast the trajectory of the vehicles…”
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Graph Regularized Encoder-Decoder Networks for Image Representation Learning by Yang, Shijie, Li, Liang, Wang, Shuhui, Zhang, Weigang, Huang, Qingming, Tian, Qi

“… Inspired by manifold learning, we propose a graph regularized encoder-decoder network, which can preserve local geometric information of the code embedding space…”
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Triple confidence-aware encoder–decoder model for commonsense knowledge graph completion by Chen, Hongzhi, Zhang, Fu, Li, Qinghui, Li, Xiang, Ding, Yifan, Zhang, Daqing, Cheng, Jingwei, Wang, Xing

“… However, a large amount of valuable commonsense knowledge exists implicitly or is missing in commonsense knowledge graphs (KGs…”
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