Popular GitHub Repositories for Relational

Synthetic data generation for tabular data

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

The OpenCog (hyper-)graph database and graph rewriting system

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

TypeDB-ML is the Machine Learning integrations library for TypeDB

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Pytorch Library for Relational Table Learning with LLMs.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.

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

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

Interact with your relational databases using natural language, and even more

SimplE Embedding for Link Prediction in Knowledge Graphs

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

[IROS20] Relational graph learning for crowd navigation

Combining relational context and relational paths for knowledge graph completion