Next, we design an adaptive filter graph encoder that captures both high and low-frequency features for subsequent processing. We then develop a graph embedding clustering self-training decoder using ...

Abstract: Existing unsupervised graph anomaly detection (GAD) methods can be categorized into reconstruction based methods and contrastive learning based methods. The principle of reconstruction ...

264/AVC encoder core capable of encoding ... are decoded using the JM reference software decoder. The PSNR and file size is recorded and reported. The test results are listed in the tables and graphs ...

deepspeed does not support gxx later than 10. Installing gxx_linux-64=9.3.0 in advance avoids reconfiguring the whole environment. conda install gxx_linux-64=9.3.0 ...

The proposed model is based on a graph encoder-decoder architecture, with multiple GNN models available for the graph encoder. GCN employs Laplacian matrix-based graph convolution to aggregate ...

and the decoder was used to predict lncRNA disease association. The encoder is divided into two parts in the model, as shown in Figure 1. The node embedding vectors of two different graphs were ...

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The BCH encoder/decoder provides error correction code (ECC) capabilities for applications such as data storage and transmission. BCH is optimal for applications ...