Tom Soru mommi84

## awesome-kge.md

      
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                mommi84
                / awesome-kge.md
            
            
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                Awesome Knowledge Graph Embedding Approaches
              
          
    Awesome Knowledge Graph Embedding Approaches


This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.
Libraries


🆕 AmpliGraph (4 algorithms) @ https://github.com/Accenture/AmpliGraph
Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding


## add_swap.sh
#!/usr/bin/env bash
#
# USAGE:
#   sudo ./add_swap.sh 4G
#
# SOURCE:
#   https://linuxize.com/post/how-to-add-swap-space-on-ubuntu-18-04/
#
fallocate -l $1 /swapfile
chmod 600 /swapfile

## nlp_dependency_tree.py
#!/usr/bin/env python3
#
# Requirements:
# pip3 install spacy graphviz
# python3 -m spacy download en_core_web_lg
#
import spacy
from graphviz import Digraph

nlp = spacy.load('en_core_web_lg')

## code-dbpedia-radial-dendogram.ipynb

      
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                mommi84
                / code-dbpedia-radial-dendogram.ipynb
            
            
              Last active
              December 2, 2020 12:38
            
              
                Code for DBpedia Ontology as a radial dendogram.
              
          
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## predict_range.sparql
select ?x (count(*) as ?c) {
  [] <PROPERTY_URI> ?o .
  optional {
    ?o a/rdfs:subClassOf+ ?class .
    ?class rdfs:subClassOf owl:Thing
  }
  bind(if(
    isuri(?o),
    ?class,
    datatype(?o)

## dbpedia_file_urls.sparql
#
# Endpoint: https://databus.dbpedia.org/repo/sparql
# Credits: @JJ-Author, @mommi84
#
PREFIX dataid: <http://dataid.dbpedia.org/ns/core#>
PREFIX dc:     <http://purl.org/dc/terms/>
PREFIX dcat:   <http://www.w3.org/ns/dcat#>
PREFIX dcv:    <http://dataid.dbpedia.org/ns/cv#>

SELECT DISTINCT ?url WHERE {

## ntriples_to_tsv.sh
#!/usr/bin/env bash
ntriples=$1
tsv=$2
sed -n $'s/^<\([^ ]*\)> <\([^ ]*\)> <\([^ ]*\)> \.$/\\1\t\\2\t\\3/p' $ntriples > $tsv

## differences.sparql
# list all differences between two entities, filtered by certain properties

SELECT * WHERE {
  {
    <http://dbpedia.org/resource/Nevada> ?p ?o1
    MINUS { <http://dbpedia.org/resource/Lincoln_County,_Nevada> ?p ?o1 }
  } UNION {
    <http://dbpedia.org/resource/Lincoln_County,_Nevada> ?p ?o2
    MINUS { <http://dbpedia.org/resource/Nevada> ?p ?o2 }
  }

## quickstart.sh
#!/usr/bin/env bash
python3 -m venv env
source env/bin/activate
pip3 install ipykernel jupyter
python3 -m ipykernel install --user --name=env
jupyter notebook

# for 'requirements.txt':
# pip3 freeze > requirements.txt

## lod_count.sh
#!/bin/bash
curl -s https://lod-cloud.net/lod-data.json | jq '.[] | .triples' | sed -e $'s/"//g' | awk '{s+=$1} END {printf "%d\n", s}'
	#!/usr/bin/env bash
	#
	# USAGE:
	# sudo ./add_swap.sh 4G
	#
	# SOURCE:
	# https://linuxize.com/post/how-to-add-swap-space-on-ubuntu-18-04/
	#
	fallocate -l $1 /swapfile
	chmod 600 /swapfile
	#!/usr/bin/env python3
	#
	# Requirements:
	# pip3 install spacy graphviz
	# python3 -m spacy download en_core_web_lg
	#
	import spacy
	from graphviz import Digraph

	nlp = spacy.load('en_core_web_lg')
	select ?x (count(*) as ?c) {
	[] <PROPERTY_URI> ?o .
	optional {
	?o a/rdfs:subClassOf+ ?class .
	?class rdfs:subClassOf owl:Thing
	}
	bind(if(
	isuri(?o),
	?class,
	datatype(?o)
	#
	# Endpoint: https://databus.dbpedia.org/repo/sparql
	# Credits: @JJ-Author, @mommi84
	#
	PREFIX dataid: <http://dataid.dbpedia.org/ns/core#>
	PREFIX dc: <http://purl.org/dc/terms/>
	PREFIX dcat: <http://www.w3.org/ns/dcat#>
	PREFIX dcv: <http://dataid.dbpedia.org/ns/cv#>

	SELECT DISTINCT ?url WHERE {
	#!/usr/bin/env bash
	ntriples=$1
	tsv=$2
	sed -n $'s/^<\([^ ]\)> <\([^ ]\)> <\([^ ]*\)> \.$/\\1\t\\2\t\\3/p' $ntriples > $tsv
	# list all differences between two entities, filtered by certain properties

	SELECT * WHERE {
	{
	<http://dbpedia.org/resource/Nevada> ?p ?o1
	MINUS { <http://dbpedia.org/resource/Lincoln_County,_Nevada> ?p ?o1 }
	} UNION {
	<http://dbpedia.org/resource/Lincoln_County,_Nevada> ?p ?o2
	MINUS { <http://dbpedia.org/resource/Nevada> ?p ?o2 }
	}
	#!/usr/bin/env bash
	python3 -m venv env
	source env/bin/activate
	pip3 install ipykernel jupyter
	python3 -m ipykernel install --user --name=env
	jupyter notebook

	# for 'requirements.txt':
	# pip3 freeze > requirements.txt
	#!/bin/bash
	curl -s https://lod-cloud.net/lod-data.json \| jq '.[] \| .triples' \| sed -e $'s/"//g' \| awk '{s+=$1} END {printf "%d\n", s}'