Chinese companies have won the Global Popular Conference of Global Data Science

Henan Daily client reporter Sun Jing

On August 18th, the KDD 2022 Award of the top conference in the global data science field was announced, and the Alibaba Bardamada team won the "Best Thesis Award" in its application science. This is the first time that Chinese companies have won the heavy award.

KDD (ACM SIGKDD) is the oldest and largest international top academic conference in the field of data science. It is also one of the most global admission rates. It has a significant influence in the fields of knowledge discovery, data mining, artificial intelligence and other fields. This time Alibaba's award-winning work is FederatedScope-Gnn for the federal map learning open source project. The KDD organizing committee fully affirmed this. The comment mentioned that the work "promoted the development of federal map learning technology and established an example of excellent platform work. "". It is understood that the research teams from well -known overseas institutions from Google, Amazon, Carnegie Mellon University and other well -known overseas institutions over the years have never won the prize before.

The KDD conference is divided into two directions: research and application science. This year, a total of 2448 submissions were received, and only 449 were accepted. Many Chinese technology companies including Alibaba, Huawei, Tencent, and Baidu have been included. People in the industry believe that at the top international academic conference, the Chinese research team is gradually changing from "followers" to "leaders" and entering the best papers competition for "thousands of miles".

Enterprises are becoming the backbone of Chinese scientific and technological innovation. A few days ago, the Ministry of Science and Technology and the Ministry of Finance issued the "Action Plan for Enterprise Technology Innovation Capability (2022-2023)" pointed out that it is necessary to guide enterprises to strengthen key core technologies, including supporting digital economy and platform economic enterprises to strengthen hard technological innovation. In recent years, Chinese companies have continuously increased their investment and accumulation in the fields of basic scientific research and core technology, and have made significant progress. Taking Alibaba as an example, the company's technical cost -related cost of fiscal year has exceeded 120 billion yuan. In the fields of cloud computing, artificial intelligence, chips, etc., a core technology research and development system with both breadth and depth has been established. It has ranked among the world's top ten most influential research institutions in the computer network.

The Alibaba's award-winning papers "FederatedScope-Gnn: Towards A University, Comprehensive and Efficient Package For Fedrated Graph Learning" focuses on federal learning direction with existing frameworks and complicated technical technology. The limited situation proposes an easy -to -use platform that contains rich datasets and innovative algorithms, laying a solid foundation for subsequent research in the field. Related technologies allow different institutions to jointly carry out new pharmaceutical molecular predictions, knowledge map supplementation, and financial information interaction, and have broad application prospects in scientific research and industrial scenarios.

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