MLNLP
社区是国内外知名的机器学习与自然语言处理社区，受众覆盖国内外NLP硕博生、高校老师以及企业研究人员。

社区的愿景是促进国内外自然语言处理，机器学习学术界、产业界和广大爱好者之间的交流和进步，特别是初学者同学们的进步。
转载自 |  图神经网络与推荐系统

The WebConf Workshop on Graph Foundation Models

https://www.www24gfm.com/

Rising Star Awards

The GFM 2024 Workshop will feature a "Rising Star Award" to recognize outstanding contributions in the field of graph foundation models. This award aims to honor emerging researchers who have demonstrated exceptional potential through their innovative research and ideas in the domain of graph-structured data and relational data. The award will spotlight those who are making significant strides in advancing graph-specific foundation models and their applications, particularly in large-scale networks and AI4Science fields.

Call for Papers

https://easychair.org/conferences/?conf=thewebconf2024_workshops
We welcome submissions regarding the foundation models for graphs, including but not limited to:
  • Graph-specific foundation models: Innovative ideas and perspectives in building generic foundation models for graph-structured data and relational data. Examples include scaling and extending graph-specific models like Graph neural networks to do pre-training and adapt to downstream tasks. Typical a special focus on the graph foundation model on big network (e.g., Google scale) and AI4Science application (e.g., computational biology, and chemistry).
  • Data-centric perspectives on graphs: Ideas and proofs-of-concept in solving graph-related problems from a data-centric perspective. Examples include how to enhance graph data availability and quality, and how to learn from graph data with limited availability and low quality.

关于我们

MLNLP 社区是由国内外机器学习与自然语言处理学者联合构建的民间学术社区，目前已经发展为国内外知名的机器学习与自然语言处理社区，旨在促进机器学习，自然语言处理学术界、产业界和广大爱好者之间的进步。
社区可以为相关从业者的深造、就业及研究等方面提供开放交流平台。欢迎大家关注和加入我们。
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