Simon Tse ghostintheshellarise

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

*2vec papers

act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
author2vec http://dl.acm.org/citation.cfm?id=2889382
bb2vec https://arxiv.org/pdf/1809.09621.pdf
behavior2vec https://dl.acm.org/citation.cfm?id=3184454
care2vec https://arxiv.org/abs/1812.00715
cat2vec http://104.155.136.4:3000/forum?id=HyNxRZ9xg

	with pm.Model() as sleep_model:

	# Create the alpha and beta parameters
	# Assume a normal distribution
	alpha = pm.Normal('alpha', mu=0.0, tau=0.05, testval=0.0)
	beta = pm.Normal('beta', mu=0.0, tau=0.05, testval=0.0)

	# The sleep probability is modeled as a logistic function
	p = pm.Deterministic('p', 1. / (1. + tt.exp(beta * time + alpha)))

	#!/bin/bash
	cd ~/

	### CUDA
	echo "\n\nChecking for CUDA and installing."
	if ! dpkg-query -W cuda; then
	curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
	sudo dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
	sudo apt-get update
	sudo apt-get install cuda -y