Available in the second half of July. Nvidia today announced the smallest member of the RTX 50-series, the GeForce RTX 5050.

Researchers from Nanjing University of Science and Technology have developed a novel computational method called ...

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 ...

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

Upon an encoder-decoder transformer-architectured language backbone: On the encoder side, an extra graph neural network (GNN) is used to contextualize the graph nodes and edges with the language ...

Graph autoencoders stem from the graph encoder-decoder architecture, which effectively maps complex node and edge relationships into a low-dimensional space. Due to this capability, they have been ...

MVIGCN model is a neural network model of codec structure, as shown in Figure 1, which mainly includes two parts: encoder part and decoder part. In this paper, the encoder was used to extract ...

Steganography-Encoder-Decoder is a Python-based tool for securely hiding encrypted messages in images using AES encryption and password-based random pixel selection. It supports multiple image formats ...