Ankit Vadehra ankitvad

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

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

P( w_i ) = count ( w_i ) ) / count ( total number of words )

In english..

	import torch
	import torch.nn as nn

	from pytorch_lightning import LightningModule, Trainer
	from torchtext.data import Field, BucketIterator, Batch
	from torchtext.datasets import IMDB
	from torchtext.vocab import GloVe

	UNK_TOKEN = "<unk>"
	PAD_TOKEN = "<pad>"

	#!/usr/bin/env python
	# -- coding: utf-8 --

	"""

	pip install networkx distance pattern

	In Flipboard's article[1], they kindly divulge their interpretation
	of the summarization technique called LexRank[2].

	#!/bin/python

	import os
	from flask import Flask, Response, request, abort, render_template_string, send_from_directory
	import Image
	import StringIO

	app = Flask(__name__)

	WIDTH = 1000