320 Open source projects that are alternatives of or similar to NBFNet

Combining relational context and relational paths for knowledge graph completion

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

StellarGraph - Machine Learning on Graphs

Multi-Hop Logical Reasoning in Knowledge Graphs

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

TypeDB: a strongly-typed database

Combining relational context and relational paths for knowledge graph completion

TypeDB: a strongly-typed database

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

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

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

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

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

Pytorch differentiable molecular dynamics

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

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

A spherical CNN for weather forecasting

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

Teaching material relevant to KGs

Graph-based machine learning for chemical property prediction

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

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

Ontology-driven Linked Data processor and server for SPARQL backends. Apache License.

Powerful RDF Knowledge Graph Generation with [R2]RML Mappings

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

CSKG: The CommonSense Knowledge Graph

AMIE+ association rule mining

Locally Private Graph Neural Networks (ACM CCS 2021)

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

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

BioGrakn Knowledge Graph

中文文本分析相关资源汇总

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

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

Tutorials for Machine Learning on Graphs

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

Offline-, mobile-first graph note-taking app focused on performance with the knowledgebase of any scale

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

A JSON-LD Serialization Libary for Python

Probabilistic Type Inference using Graph Neural Networks

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

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

Translator of spreadsheet mappings into R2RML, RML or YARRRML

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

Reimplementation of Graph Embedding methods by Pytorch.

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Representation Learning on Graphs with Jumping Knowledge Networks

PLDB: a Programming Language Database. A public domain knowledge graph focused on programming languages distributed as a CSV file.

Key information extraction from text and graph visualization

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

An Automated Theorem Prover for Classical Higher-Order Logic with Henkin Semantics

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

Subgraph Neural Networks (NeurIPS 2020)

General reasoning component for applications based on NARS theory.

Message Passing Neural Networks for Simplicial and Cell Complexes

AAAI'21: Data Augmentation for Graph Neural Networks

Memory for Knowledge Graph, using Neo4j. 知识图谱存储与查询。