Graph Convolutional Networks

Related Tags:

3 Documents (Long List)

- [1903.05823] A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network (2019)
*(About)*

a transformer encoder for analyzing textual data present in patent documents and a graph convolutional network for analyzing patent metadata. A benchmarking dataset for patent landscaping based on patent trends reports published by the Korean Patent Office. Data acquisition using Google's BigQuery public datasets. 10% improvement comparing to Googleâ€™s proposed Automated Patent Landscaping. Empirical analysis of the importance of features (text vs metadata, citations vs classification)

2019-03-18 - How to do Deep Learning on Graphs with Graph Convolutional Networks Part 2
*(About)*

Part 2: Semi-Supervised Learning with Spectral Graph Convolutions [Part 1](/doc/?uri=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-7d2250723780)

2019-01-30 - How to do Deep Learning on Graphs with Graph Convolutional Networks - Part 1
*(About)*

Part 1: A High-Level Introduction to Graph Convolutional Networks [Part 2](/doc/?uri=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-62acf5b143d0)

2019-01-30

Properties

- sl:creationDate : 2019-01-30
- sl:creationTime : 2019-01-30T12:55:04Z
- rdf:type : sl:Tag
- skos:altLabel : Graph Convolutional Network
- skos:prefLabel : Graph Convolutional Networks