xiongbo010

UltraKGEmbeddings

NestE

PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)

ShrinkE

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs (ACL'23)

BoxEL

Code for Faithful Embeddings for the Description Logic EL++ (ISWC'22)

HMI

PyTorch implementation of Hyperbolic Embedding Inference for Structured Multi-Label Prediction (NeurIPS'22)

QGCN

PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))

DeepLearningforKnowledgeGraphs

catE

Category-theoretic representation of ALC theories

BiVE

Code for "Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)"

Awesome-Geometric-Embeddings

Awesome-Hyperbolic-Graph-Neural-Network-Papers

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

hyper_relational_ilp

Improving Inductive Link Prediction Using Hyper-Relational Facts

PoincareLinearClassification

Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

cheatsheets

Official Matplotlib cheat sheets

gnn-model-explainer

gnn explainer

EmELpp

EmEL++ is a geometric approach to generate embeddings for the description logic EL++

StarE

EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphs

RiemannianGCN

A Riemannian implementation of Graph Convolutional Networks based on Geoopt framework

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

Overlaying-Spaces-and-Practical-Applicability-of-Complex-Geometries

Official code and tex for "Overlaying Spaces and Practical Applicability of Complex Geometries" paper

hyperbolic-learning

Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

HPOlib2

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

product_hgcn

adapted from Hyperbolic Graph Convolutional Networks in PyTorch https://github.com/HazyResearch/hgcn

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch