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hello Community today were gonna talk about link prediction for graph machine learning and I would like to show you the idea of Link protection implemented in pi torch geometric and deep graph Library so here we go link prediction using graph neural networks now in many industrial applications such as social recommendation item recommender Knowledge Graph completion something can be formulated as a link prediction and what it does it predicts whether an edge exists between two different nodes in your graph so lets have a look at this there are two Publications you have to know the first is link prediction based on graph neural networks from 2018 and the other one is modeling relational data with gravecon with graph convolutional networks from October 2017. what they tell you is there is a scheme maybe you will find it sometimes its called seal seal stands for learning from subgraphs embeddings attributes for link prediction seal now you know what seal means the idea is rather simpl
