The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...