Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
-
Updated
Jun 12, 2020 - Python
Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
Summarization of static graphs using the Minimum Description Length principle
Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"
This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.
Personalized knowledge graph summarization based on historical queries
Framework for latent network summarization: bridging network embedding and summarization
scaling RGCN training with graph summaries
This repo shows research paper upon which I worked during my summer research intern - 2022.
Add a description, image, and links to the graph-summarization topic page so that developers can more easily learn about it.
To associate your repository with the graph-summarization topic, visit your repo's landing page and select "manage topics."