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  • title: Inductive Relation Prediction by Subgraph Reasoning
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            Inductive Relation Prediction by Subgraph Reasoning
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            Inductive Relation Prediction by Subgraph Reasoning

            Jul 12, 2020

            Speakers

            ED

            Etienne Denis

            Speaker · 0 followers

            KKT

            Komal K. Teru

            Speaker · 0 followers

            WH

            William Hamilton

            Speaker · 1 follower

            About

            The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i.e., embeddings) of entities and relations. However, these embedding-based methods do not explicitly capture the compositional logical rules underlying the knowledge graph, and they are limited to the transductive setting, where the full set of entities must be known during training. Here, we propose a graph neural network based relation prediction framework, GraIL, that…

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            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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