Graph computing is becoming one of the most active techniques in the field of artificial intelligence. With data emerged from various sources and domains, traditional grid-based methods face a fundamental technical bottleneck due to the lack of the ability to handle a deluge of data associated with complex and irregular structures. In comparison, graph computing well addresses this issue and has been applied in various application scenarios. For example, Google Maps leverage related techniques to improve the prediction performances of the estimated time of arrival; Amazon and Alibaba have built sophisticated infrastructure and platform for graph computing, promoting better ability for product recommendation. Meanwhile, graph computing is playing an increasingly important role in scientific frontiers, such as drug discovery and particle physics. Why is graph computing so popular? What are the technical bottlenecks of graph computing? Which areas would graph computing make disruptive technological revolution? Let's dive into graph computing at ChalkTalk@ZIRC.

Speaker

        Prof. Siheng Chen

       School of Electronic Information and Electrical Engineering, SJTU

Time

        2022.3.9 12:00-13:30