Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Research team from Shandong University introduced MetaGIN, a lightweight deep learning framework for molecular property ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics.

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation.

If you want to become an AI genius – the kind that Mark Zuckerberg offers $50–$100 million to join his quest for artificial ...

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has introduced the RA8P1 microcontroller ...