Introduction to Explainable Link Prediction
Let's dive into the details surrounding Explainable Link Prediction. Learning graph representations from n-ary relational data and predicting links between entities has a number of real world ...
Explainable Link Prediction Comprehensive Overview
Is the case where we may not necessarily be missing edges but we could have more so Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected ... Presenter: Kewei (Vivian) Cheng Date: 04/27/2021 Content: Inductive
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Summary & Highlights for Explainable Link Prediction
- Okay so in this video you're going to look at evaluating the effectiveness of the
- 0:00 Introduction 0:27 Graph Classification Task 3:00 Node Classification Task 5:01
- Authors: Daniel Daza, Michael Cochez, Paul Groth.
- Join the Learning on Graphs and Geometry Reading Group: https://hannes-stark.com/logag-reading-group Paper "Towards Better ...
- Network Science 2021 @ HSE.
That wraps up our extensive overview of Explainable Link Prediction.
