graph-embeddings

Accenture/AmpliGraph

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

palash1992/GEM

daiquocnguyen/Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

daiquocnguyen/QGNN

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

daiquocnguyen/Walk-Transformer

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

nlpAThits/figet-hyperbolic-space

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"

uhh-lt/path2vec

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

fedelopez77/sympa

Embedding graphs in symmetric spaces

ki-ljl/node2vec

Implement the node2vec algorithm using Python

nlpub/watset-java

An implementation of the Watset clustering algorithm in Java.

terraphim/terraphim-ai

Terraphim AI: deterministic AI Assistant

rctzeng/ICML19-EgoCNN

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

fedelopez77/gyrospd

GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

sergibro/github-recommendations

GitHub repositories and users recommendations by embeddings

GemsLab/StrucEmbedding-GraphLibrary

The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.

jovitalukasik/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

uhh-lt/kb2vec

Vectorizing knowledge bases for entity linking

alvinzhaowei/vdist2vec

An implementation of vdist2vec model in paper A Learning Based Approach to Predict Shortest-Path Distances

KrainskiL/CGE.jl

Julia package to Compare Graph Embeddings

jvanname/spectralradiinai

We are applying the notion of the spectral radius to NLP and data represented as graphs.

davidzyx/HinDroid-with-Embeddings

Experiments on improving the HinDroid model

giannisnik/segk

Learning Structural Node Representations using Graph Kernels

GlassyWing/graph_gru

Reconstructed GRU, used to process the graph sequence.

ImMohammadHosseini/HeCo

:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

sbonner0/temporal-neighbourhood-aggregation

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

ContentSide/French_Knowledge_Graph

This repository introduces RezoJDM16K a French Knowledge Graph Dataset with 53 semantic relations created from RezoJDM. Different graph embeddings have gained from this dataset which are available for semantic link prediction task.

JiaWu-Repository/STNE

Social trust Network Embedding (ICDM 2019)

nikolayVv/AutonomousSSIiSHARE

Implementation and evaluation of an autonomous SSI-enhanced iSHARE framework, enabling decentralized identity management, schema alignment for property matching, and automated generation of alternative verification requests, improving scalability, privacy, and flexibility in data spaces and SSI ecosystems.

Sanchez2020/Demo

learning GNNs

tonyduan/graph-embeddings

Methods for embedding the structure of graphs into node features.

vaudaine/Comparing_embeddings

This package has been made to compare some graph embedding algorithms. The following methods are implemented: Laplacian EigenMaps, Locally Linear Embedding, Higher-Order Proximity preserved Embedding (HOPE), Multi-dimensional scaling of a dissimilarity matrix, Node2vec, Struc2vec, Verse, Singular Value Decomposition of the Adjacency matrix, Kamada-Kawai Layout (KKL), Structural Deep Network Embedding (SDNE)

ocatias/Research_KnowledgeGraph

A knowledge graph containing 5 million research papers. Uses: compute Erdős numbers, rank influence of cities on research areas, detect whether researchers with the same name are the same person.

lejohnyjohn/learning-stance-embeddings-from-signed-social-graphs

This repo contains the code and datasets from our paper Learning Stance Embeddings from Signed Social Graphs.

Sanchez2020/notes

Personal study notes.

sergibro/concept-graphs

Concept embedding and network analysis of scientific innovations emergence