Variational Graph Auto-Encoder (VGAE)
Variational Graph Auto-Encoder (VGAE) was proposed by T. N. Kipf and M. Welling for link prediction, which is a key problem for network-structured data.
Da Vinci – A Scaleable Architecture for Neural Network Computing (updated v7)
In this presentation, we introduce microprocessor trends, describe two distinct eras of computing usage in training AI systems and show the wide variety of computing architectures.
Perhaps this is you!
We are looking for amazing teammates who could join us and take us to the next level in artificial intelligence and high-performance computing.
Graph Convolutional Network (GCN)
Graph Neural Networks (GNNs) have gained immense popularity as a new methodology of analysing graphs, similar to how we use deep learning to process images.
A fireside conversation with the pioneer of computer science
To young talents and fresh graduates! Please join our fireside conversations with John Hopcroft—a pioneer of computer science and Turing award winner.
100 Faces of Huawei (part 3)
The third episode of "100 Faces of Huawei" starts with an epic drone video footage of our new Ox Horn research and development campus.
100 Faces of Huawei (part 2)
In the second episode of "100 Faces of Huawei", Japanese director Takeuchi Ryō shows how we are using artificial intelligence.
100 Faces of Huawei (part 1)
There are two sides to every coin. It is wonderful to see that Japanese director Takeuchi Ryo had the opportunity to give insights into Huawei.
