Vallinox

relational_pattern_benchmarking

Benchmarking for KnowledgeGraph link Prediction Task on each specific Relational Pattern and for both inductive and transductive settings.

KnowledgeGraphEmbedding

kge

ms_kge

model-based subsampling

datasets_knowledge_embedding

Datasets for Knowledge Graph Completion with textual information about the entities

Awesome-Knowledge-Graph-Reasoning

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

rasbt-python-machine-learning-book

https://github.com/rasbt/python-machine-learning-book

KGE

Some papers on Knowledge Graph Embedding(KGE)

TransE

An implementation of TransE with tensorflow

schema

Leveraging Ontological Schema Information in Embedding Models for Knowledge Graphs

kge-rl

Implements various negative sampling techniques for learning knowledge graph embeddings

KnowledgeGraphEmbedding

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

open_knowledge_graph_embeddings

Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.

ml00

Repository ufficiale del corso online "Machine Learning: il Corso Pratico"