SkipGNN: predicting molecular interactions with skip-graph networks
نویسندگان
چکیده
منابع مشابه
Skip-graph: Learning Graph Embeddings with an Encoder-decoder Model
In this work, we study the problem of feature representation learning for graphstructured data. Many of the existing work in the area are task-specific and based on supervised techniques. We study a method for obtaining a generic feature representation for a graph using an unsupervised approach. The neural encoderdecoder model is a method that has been used in the natural language processing do...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2020
ISSN: 2045-2322
DOI: 10.1038/s41598-020-77766-9