395 Open source projects that are alternatives of or similar to KGPool

Combining relational context and relational paths for knowledge graph completion

A curated list of awesome knowledge graph tutorials, projects and communities.

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

基于深度学习的开源中文关系抽取框架

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

Combining relational context and relational paths for knowledge graph completion

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

A collection of research on knowledge graphs

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

Tutorials for Machine Learning on Graphs

Graph-based machine learning for chemical property prediction

(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

Reimplementation of Graph Embedding methods by Pytorch.

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

Extracts a latent knowledge graph from text and index/query it in elasticsearch or solr

AAAI'21: Data Augmentation for Graph Neural Networks

Awesome Graph Self-Supervised Learning

Knowledge-aware recommendation papers.

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

YANGDB Open-source, Scalable, Non-native Graph database (Powered by Elasticsearch)

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

A spherical CNN for weather forecasting

TypeDB: a strongly-typed database

NENO is a note-taking app that helps you create your personal knowledge graph.

Representation Learning on Graphs with Jumping Knowledge Networks

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Key information extraction from text and graph visualization

An index of recommendation algorithms that are based on Graph Neural Networks.

RO is an ontology of relations for use with biological ontologies

提供强大的NLP能力, low-code实现chatbot

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

AMIE+ association rule mining

Vancouver Event and Relation System for Extraction

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

TypeDB-ML is the Machine Learning integrations library for TypeDB

BioGrakn Knowledge Graph

Pytorch differentiable molecular dynamics

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Message Passing Neural Networks for Simplicial and Cell Complexes

Bi-directional LSTM model for relation extraction

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

Relation Classification - SEMEVAL 2010 task 8 dataset

GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

A curated list of awesome graph & self-supervised-learning-based recommendation.

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Multi-Hop Logical Reasoning in Knowledge Graphs

Locally Private Graph Neural Networks (ACM CCS 2021)

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods