link-prediction

StellarGraph - Machine Learning on Graphs

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

A curated list of data mining papers about fraud detection.

🤖 A Python library for learning and evaluating knowledge graph embeddings

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

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

Representation learning for link prediction within social networks

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

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

This repository implements variational graph auto encoder by Thomas Kipf.

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

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

An Open Source Library for Diverse Representation Learning of Knowledge Graphs

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

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

Easy link prediction tool

SimplE Embedding for Link Prediction in Knowledge Graphs

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