Multimodal knowledge graphs (MMKG) are getting a huge attraction from the AI community. Image is a modal which has a lot of hidden knowledge inside and is an old topic from the computer vision [...]
Neural Networks have shown promising performance in various tasks including classification, regression and clustering. Performance of NNs depends on the underlying geometry they designed on. However, most NNs are designed while they are unaware [...]
We open an opportunity with our support for those computer scientists in the master level who have been a big fan of mathematics, however could not find a strong bridging of this knowledge and [...]
There are a huge number of knowledge graphs available for AI-related applications such as smart analysis, link prediction, and recommendation. We focus on three major domains of Environmental, Medical or Scholarly domains and their [...]
