365 Open source projects that are alternatives of or similar to Ampligraph

Exercises for the Analysis of Knowledge Graphs

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Meandering In Networks of Entities to Reach Verisimilar Answers

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

Reading list for research topics in multimodal machine learning

A collection of some materials of knowledge graph question answering

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

A comprehensive list of awesome contrastive self-supervised learning papers.

Several data modalities for KBs (visual, numerical, temporal, etc.)

SimplE Embedding for Link Prediction in Knowledge Graphs

Blue Brain Nexus - A knowledge graph for data-driven science

Data transformation framework for LinkML data models

TopicDB is a topic maps-based semantic graph store (using PostgreSQL for persistence)

Grakn Knowledge Graph Library (ML R&D)

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

A web-based knowledge management system for visualizing game related technologies.

Zettelkasten visualization and stats🤩🗒

KBPedia Knowledge Graph & Knowledge Ontology (KKO)

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

Graph Data Visualization Demo| 图数据搜索可视化应用案例

A package for Multiple Kernel Learning in Python

Subgraph Neural Networks (NeurIPS 2020)

搜索所有中文NLP数据集，附常用英文NLP数据集

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Python implementation of TextRank for phrase extraction and summarization of text documents

Experiments for understanding disentanglement in VAE latent representations

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

This repository for Web Crawling, Information Extraction, and Knowledge Graph build up.

Representation learning for link prediction within social networks

Profiling and Deanonymizing Ethereum Users

Poincaré Embedding (unofficial)

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Language Servers for Stardog Languages

Implementation of VLAE

经济责任审计知识图谱：网络爬虫、关系抽取、领域词汇判定

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Poincaré Embedding

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Keras implementation of Representation Learning with Contrastive Predictive Coding

Deforming kernels to adapt towards object deformation. In ICLR 2020.

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

自然语言处理、知识图谱、对话系统三大技术研究与应用。

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

2019语言与智能技术竞赛-基于知识图谱的主动聊天

Generic Linked Data browser and UX component framework. Apache license.

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

Combining relational context and relational paths for knowledge graph completion

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