StellarGraph - Machine Learning on Graphs

🤖 A Python library for learning and evaluating knowledge graph embeddings

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

A curated list of data mining papers about fraud detection.

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

A repository of pretty cool datasets that I collected for network science and machine learning research.

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

This repository implements variational graph auto encoder by Thomas Kipf.

[Tool] For Knowledge Graph Representation Learning

Representation learning for link prediction within social networks

[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

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

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

Implementation of TransE model in PyTorch.