A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...

How to Use ChatGPT to Create Knowledge Graphs From Text 2:12 pm May 29, 2025 By Julian Horsey ...

On Wednesday, Trump announced a 10% base tariff and additional import taxes on a country-by-country basis. These broad-based tariffs are in addition to goods-specific tariffs on steel, aluminum ...

Sun, Y., Xue, B., Zhang, M. and Yen, G.G. (2019) A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Transactions on ...

Paul Whiteley does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

To overcome these limitations, a novel deep space-time generative graph convolutional autoencoder (SGGCA) is proposed. First, the PDS is modeled as a space-time graph where the nodes and edges show ...

Our contributions can be summarized as follows: (1) We proposed an SDA prediction model within the VGAE framework, yielding reliable results. (2) We employed graph-regularized convolutional networks ...

This study proposed multitask (MT) learning coupled with relational graph convolutional networks with attention weights (RGAN) and explicit hydrogens (abbreviated as MT-RGAN-H architecture) to ...

A Convolutional Variational Autoencoder (CVAE) was developed for this purpose. We demonstrate the efficacy of our approach using the transient data generated from the simulations. The simulation data ...