Since Conda needs to perform diffusion on the historical neighbor sequence of a target node, we made some modifications to the model implemented in DyGFormer. Although the original model can also use ...

To guarantee the consistency between synthetic and real data, we augment a diffusion model with the Graph Convolutional Network (GCN) to extract spatial correlations of traffic data. In addition, we ...

Quantum walks are a powerful theoretical model using quantum effects such as superposition, interference and entanglement to ...

The Graph price prediction anticipates a high of $0.2446 by the end of 2024. In 2027, it will range between $0.710 and $0.884, with an average price of $0.736. In 2030, it will range between $2.14 and ...

Researchers introduced the GETAE framework, integrating text analysis and social dynamics, achieving breakthroughs in fake ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

Can we teach a model to quickly acquire a new concept, given a few examples? Furthermore, can we compose multiple new concepts together? We propose Custom Diffusion, an efficient method for augmenting ...