light8lee

light8lee's Stars

• universal-ie/UIE

  Unified Structure Generation for Universal Information Extraction

  Language:Python90099

• luwill/Machine_Learning_Code_Implementation

  Mathematical derivation and pure Python code implementation of machine learning algorithms.

  Language:Jupyter Notebook1.5k600

• ontop/ontop

  Ontop is a platform to query relational databases as Virtual RDF Knowledge Graphs using SPARQL

  Language:Java659163

• SANSA-Stack/SANSA-Stack

  Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

  Language:Scala14130

• aschaetzle/S2X

  S2X (SPARQL on Spark with GraphX) is a SPARQL query processor for Hadoop based on Spark GraphX. It combines graph-parallel abstraction of GraphX to implement the graph pattern matching part of SPARQL with data-parallel computation of Spark to build the results of other SPARQL operators.

  Language:Java154

• Jhy1993/Representation-Learning-on-Heterogeneous-Graph

  Representation-Learning-on-Heterogeneous-Graph

  43684

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python629151

• light8lee/2019-BDCI-FinancialEntityDiscovery

  2019 BDCI互联网金融新实体发现

  Language:Python395

• fenchri/edge-oriented-graph

  Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"

  Language:Python14617

• castorini/BuboQA

  Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

  Language:Python28388

• thunlp/KRLPapers

  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

  Language:TeX1.5k247

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k896

• fatedier/frp

  A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

  Language:Go86.9k13.4k

• liuhuanyong/QASystemOnMedicalKG

  A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

  Language:Python6.4k2.2k

• Cartus/AGGCN

  Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

  Language:Python43488

• scottyih/STAGG

  Language:Batchfile11235

• microsoft/gated-graph-neural-network-samples

  Sample Code for Gated Graph Neural Networks

  Language:Python1k262

• chingyaoc/ggnn.pytorch

  A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

  Language:Python46592

• UKPLab/coling2018-graph-neural-networks-question-answering

  Accompanying code for our COLING 2018 paper "Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering"

  Language:Python17228

• shuowang-ai/GeniePath-pytorch

  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

  Language:Python10427

• DeepGraphLearning/GMNN

  Graph Markov Neural Networks

  Language:Python40299

• pfnet-research/graph-nvp

  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

  Language:Python9118

• OpenDrugAI/AttentiveFP

  Language:Jupyter Notebook17360

• soskek/bookcorpus

  Crawl BookCorpus

  Language:Python813110

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.7k1.4k

• nyu-mll/jiant

  jiant is an nlp toolkit

  Language:Python1.6k297

• coetaur0/ESIM

  Implementation of the ESIM model for natural language inference with PyTorch

  Language:Python367103

• benedekrozemberczki/SimGNN

  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

  Language:Python761146

• kimiyoung/transformer-xl

  Language:Python3.6k762

• llSourcell/deepfakes

  This is the code for "DeepFakes" by Siraj Raval on Youtube

  Language:Python970466