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graph-embeddings

Here are 43 public repositories matching this topic...

chihming / awesome-network-embedding

A curated list of network embedding techniques.

knowledge-graph representation-learning network-embedding graph-embeddings

Updated Dec 8, 2020

Accenture / AmpliGraph

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

machine-learning knowledge-graph representation-learning relational-learning graph-embeddings knowledge-graph-embeddings graph-representation-learning

Updated Sep 24, 2021
Python

palash1992 / GEM

network-visualization network-embedding link-prediction graph-embeddings graph-embedding

Updated Oct 14, 2021
Python

daiquocnguyen / Graph-Transformer

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

transformer graph-machine-learning graph-embeddings graph-classification self-attention graph-neural-networks graph-representation-learning node-embeddings graph-transformer

Updated Mar 10, 2022
Python

nlpAThits / figet-hyperbolic-space

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

nlp hierarchy hierarchical-data hyperbolic-distance hyperbolic-geometry hierarchical-models entity-typing graph-embeddings fine-grained-classification entity-types fine-grained-entity-typing figet hyperbolic-space

Updated Jan 15, 2020
Python

uhh-lt / path2vec

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

graph word2vec embeddings wordnet semantic-similarity semantic-similarity-measures graph-embeddings synset synset-embeddings semantic-relatedness

Updated Aug 27, 2019
Jupyter Notebook

daiquocnguyen / QGNN

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

text-classification quaternion quaternion-algebra graph-embeddings graph-classification node-classification graph-neural-networks graph-representation-learning node-embeddings hamilton-product

Updated Dec 25, 2021
Python

daiquocnguyen / Walk-Transformer

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

transformer random-walk graph-embeddings node-classification self-attention graph-neural-networks pytorch-implementation unsupervised-node-embedding node-embeddings inductive-node-embeddings

Updated Jun 10, 2021
Python

watset-java

nlpub / watset-java

An implementation of the Watset clustering algorithm in Java.

nlp clustering semantics community-detection embeddings graph-clustering markov-clustering graph-embeddings chinese-whispers fuzzy-clustering watset maxmax

Updated Apr 8, 2022
Java

rctzeng / EgoCNN

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

convolutional-neural-networks self-similarity interpretability icml graph-embeddings scale-free-networks graph-neural-networks graph-networks graph-convolutional-neural-networks icml-2019

Updated Aug 24, 2021
Python

uhh-lt / kb2vec

Vectorizing knowledge bases for entity linking

neural entity-linking graph-embeddings

Updated Feb 21, 2021
Python

sympa

fedelopez77 / sympa

Embedding graphs in symmetric spaces

graph matrix pytorch representation-learning icml graph-embeddings geometric-deep-learning hyperbolic-space symmetric-spaces siegel-space bounded-domain upper-half-space

Updated Sep 30, 2021
Python

GemsLab / StrucEmbedding-GraphLibrary

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

evaluation graph-embeddings structural-roles structural-embeddings role-based-embeddings

Updated Mar 12, 2022
Python

sergibro / github-recommendations

GitHub repositories and users recommendations by embeddings

github docker jupyter-notebook tensorboard graph-embeddings

Updated Apr 6, 2022
Jupyter Notebook

gyrospd

fedelopez77 / gyrospd

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

graphs pytorch knowledge-graph hyperbolic-geometry spd graph-embeddings geometric-deep-learning gyrocalculus

Updated Nov 8, 2021
Python

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.

semantic-data link-prediction graph-embeddings

Updated Apr 8, 2022
Jupyter Notebook

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

graph-embeddings pytorch-implementation temporal-graphs

Updated Oct 19, 2020
Python

giannisnik / segk

Learning Structural Node Representations using Graph Kernels

representation-learning graph-mining graph-embeddings node-embedding

Updated Apr 7, 2020
Jupyter Notebook

GlassyWing / graph_gru

Reconstructed GRU, used to process the graph sequence.

gru attention precipitation graph-embeddings ggnn graph-neural-network graph-sequence graph-gru

Updated May 6, 2020
Python

davidzyx / HinDroid-with-Embeddings

Experiments on improving the HinDroid model

android detection malware embeddings graph-embeddings heterogeneous-networks meta-paths hindroid

Updated Jun 9, 2020
Jupyter Notebook

ki-ljl / node2vec

Implement the node2vec algorithm using Python

graph node2vec graph-embeddings

Updated Mar 11, 2022
Python

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)

graph-embeddings graph-representation-learning

Updated Dec 2, 2019
C++

Sanchez2020 / notes

Personal study notes.

machine-learning deep-learning notes reviews graph-embeddings graph-neural-networks network-embeddings

Updated Jul 15, 2019

Sanchez2020 / Demo

learning GNNs

deeplearning t-sne graph-convolutional-networks graph-embeddings graph-attention-networks node-classification graph-neural-networks pytorch-geometric

Updated Jul 7, 2019
Python

vlukiyanov / pt-splitter

PyTorch implementation of Splitter graph node embeddings

pytorch deepwalk graph-embeddings ego-splitting

Updated May 24, 2020
Python

JiaWu-Repository / STNE

Social trust Network Embedding (ICDM 2019)

social-network network-embedding graph-embeddings signed-networks dataset-wikielec dataset-wikirfa dataset-slashdot dataset-epinions dataset-wikieditor

Updated Jun 22, 2020
Python

tonyduan / graph-embeddings

Methods for embedding the structure of graphs into node features.

machine-learning graph-embeddings

Updated Sep 4, 2019
Python

tranhungnghiep / KG20C

A Scholarly Knowledge Graph Benchmark Dataset

dataset knowledge-graph question-answering recommendation-system link-prediction scholarly-metadata graph-embeddings knowledge-graph-embeddings graph-neural-networks

Updated Oct 7, 2021

jwijffels / deepwalker

Learn Graph Embeddings with Deep Learning

r graph-algorithms graph-embeddings

Updated Dec 5, 2018
C++

alvinzhaowei / vdist2vec

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

deep-learning graph-embeddings shortest-path-distance

Updated Apr 8, 2022
Python

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