graph-embeddings
There are 57 repositories under graph-embeddings topic.
chihming/awesome-network-embedding
A curated list of network embedding techniques.
Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
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
terraphim/terraphim-ai
Terraphim AI: deterministic AI Assistant
nlpub/watset-java
An implementation of the Watset clustering algorithm in Java.
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
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
sergibro/github-recommendations
GitHub repositories and users recommendations by embeddings
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
davidzyx/HinDroid-with-Embeddings
Experiments on improving the HinDroid model
jvanname/spectralradiinai
We are applying the notion of the spectral radius to NLP and data represented as graphs.
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.
giannisnik/segk
Learning Structural Node Representations using Graph Kernels
JiaWu-Repository/STNE
Social trust Network Embedding (ICDM 2019)
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
vlukiyanov/pt-splitter
PyTorch implementation of Splitter graph node embeddings