paulorvdc

paulorvdc's Stars

• AKSW/ImpNatUKE

  NatUKE: Natural Product Knowledge Extraction Benchmark

  Language:Jupyter Notebook1

• AKSW/natuke

  NatUKE: Natural Product Knowledge Extraction Benchmark

  Language:Jupyter Notebook104

• hfawaz/cd-diagram

  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

  Language:Python25773

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python856132

• xwhan/One-shot-Relational-Learning

  Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

  Language:Python24042

• D2KLab/entity2rec

  entity2rec generates item recommendation using property-specific knowledge graph embeddings

  Language:Python18444

• AlvaroJoseLopes/Deep-Walk-Transformers

  Node embedding technique based on Masked Language Model.

  Language:Jupyter Notebook4

• AKSW/frankgraphbench

  The FranKGraphBench is a Framework to allow KG Aware RSs to be benchmarked in a reproducible and easy to implement manner. It was first created on Google Summer of Code 2023 for Data Integration between DBpedia and some standard RS datasets in a reproducible framework.

  Language:Python8

• bhushan-zope/BiKE

  This repository is for BiKE'23 challenge. It is using the code from original 'Natuke' Paper from https://github.com/AKSW/natuke

  Language:Jupyter Notebook11

• agu-borrego/SciCheck

  Language:Python2

• GoloMarcos/One-Class-Recommendation-GNN-LinkPrediciton

  One-Class Recommendation through Unsupervised Graph Neural Networks for Link Prediction

  Language:Jupyter Notebook3

• YaserJaradeh/ThePlumber

  The Plumber framework for KG completion and structured triples extraction

  Language:Python213

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k843

• usnistgov/trec_eval

  Evaluation software used in the Text Retrieval Conference

  Language:C23948

• GoloMarcos/TripleVAE-OCL-ENIAC2021

  Codes and complete results from "Triple-VAE: A Triple Variational Autoencoder to Represent Events in One-Class Event Detection", an article accepted in ENIAC 2021

  Language:Python1

• GoloMarcos/MVAE-FakeNews_Webmedia2021

  Multimodal Variational Autoencoder to Represent texts on One Class Fake News Classification

  Language:Jupyter Notebook5

• ivanfilhoreis/agricultural_commodity_data

  Textual data and time series of agricultural commodities.

  2

• joaoperfig/GRaNDPapA

  Generator of Rad Names from Decent Paper Acronyms

  Language:Python2799

• fhamborg/Giveme5W1H

  Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

  Language:HTML51289

• google-research/byt5

  Language:Python48730

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k431

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.3k1.2k

• benhamner/Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  Language:Python1.6k454

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k996

• 4mulaDataset/4mula

  Repository to storage the 4mula dataset

  Language:Python10

• amy-deng/DynamicGCN

  Language:Python4724

• eecrazy/ConstructingNEEG_IJCAI_2018

  The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction

  Language:Python16038

• farbodtaymouri/GanPredictiveMonitoring

  Language:Python2010

• renanmnutse/hourlyloonacatcher

  Language:Jupyter Notebook41

• joaopedromattos/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Jupyter Notebook2