PROLEARN is a 'Network of Excellence' financed by the IST (Information Society Technology - Contract number 507310) programme of the European commission dealing with technology enhanced professional learning. Its mission is to bring together the most important research groups in the area of professional learning and training, as well as other key organisations and industrial partners, thus bridging the currently existing gap between research and education at universities and similar organisations and training and continuous education that is provided for and within companies.
PROLEARNs goal is to achieve a greater focus on questions of European importance and a better integration of research efforts. Therefore PROLEARN will initiate and improve cooperations between various actors of academia and industry in the area of technology enhanced learning. The project will particularly support multinational co-operation and will therefore form a new understanding of an open network within the research community.
Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.
PROLEARN is a 'Network of Excellence' financed by the IST (Information Society Technology - Contract number 507310) programme of the European commission dealing with technology enhanced professional learning. Its mission is to bring together the most important research groups in the area of professional learning and training, as well as other key organisations and industrial partners, thus bridging the currently existing gap between research and education at universities and similar organisations and training and continuous education that is provided for and within companies.
PROLEARNs goal is to achieve a greater focus on questions of European importance and a better integration of research efforts. Therefore PROLEARN will initiate and improve cooperations between various actors of academia and industry in the area of technology enhanced learning. The project will particularly support multinational co-operation and will therefore form a new understanding of an open network within the research community.
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