StellarGraph - Machine Learning on Graphs
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Updated
Apr 10, 2024 - Python
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
Representation learning for link prediction within social networks
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
TypeDB-ML is the Machine Learning integrations library for TypeDB
A repository of pretty cool datasets that I collected for network science and machine learning research.
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
This repository implements variational graph auto encoder by Thomas Kipf.
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)
[Tool] For Knowledge Graph Representation Learning
Easy link prediction tool
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
A pytorch implemention of GCN-GAN for temporal link prediction.
Implementation of TransE model in PyTorch.
SimplE Embedding for Link Prediction in Knowledge Graphs
Variational Graph Recurrent Neural Networks - PyTorch
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