graph-embeddings

There are 10 repositories under graph-embeddings topic.

chihming / awesome-network-embedding
A curated list of network embedding techniques.
network-embedding representation-learning graph-embeddings knowledge-graph
2558
Accenture / AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
machine-learning knowledge-graph relational-learning representation-learning graph-representation-learning graph-embeddings knowledge-graph-embeddings
Language:Python 2086
palash1992 / GEM
graph-embedding graph-embeddings network-embedding network-visualization link-prediction
Language:Python 1265
daiquocnguyen / Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
graph-representation-learning graph-classification graph-neural-networks node-embeddings graph-embeddings graph-transformer self-attention transformer graph-machine-learning text-classification transformer-models graph-deep-learning
Language:Python 619
daiquocnguyen / QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
graph-classification node-classification graph-representation-learning quaternion graph-neural-networks graph-embeddings node-embeddings text-classification hamilton-product quaternion-algebra
Language:Python 46
daiquocnguyen / Walk-Transformer
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
node-classification node-embeddings graph-embeddings graph-neural-networks inductive-node-embeddings unsupervised-node-embedding self-attention random-walk transformer pytorch-implementation
Language:Python 39
nlpAThits / figet-hyperbolic-space
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
nlp figet entity-typing entity-types hyperbolic-geometry hyperbolic-distance hyperbolic-space fine-grained-classification fine-grained-entity-typing graph-embeddings hierarchical-data hierarchical-models hierarchy
Language:Python 34
uhh-lt / path2vec
Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings
graph embeddings graph-embeddings word2vec wordnet synset synset-embeddings semantic-relatedness semantic-similarity semantic-similarity-measures
Language:Jupyter Notebook 32
watset-java
nlpub / watset-java
An implementation of the Watset clustering algorithm in Java.
clustering nlp community-detection graph-clustering watset chinese-whispers maxmax markov-clustering semantics fuzzy-clustering graph-embeddings embeddings
Language:Java 28
sympa
fedelopez77 / sympa
Embedding graphs in symmetric spaces
graph geometric-deep-learning symmetric-spaces hyperbolic-space siegel-space matrix representation-learning icml pytorch graph-embeddings bounded-domain upper-half-space
Language:Python 26
ki-ljl / node2vec
Implement the node2vec algorithm using Python
node2vec graph-embeddings graph
Language:Python 24
rctzeng / ICML19-EgoCNN
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
graph-embeddings convolutional-neural-networks scale-free-networks graph-networks graph-convolutional-neural-networks icml-2019 icml graph-neural-networks self-similarity interpretability
Language:Python 18
gyrospd
fedelopez77 / gyrospd
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
graph-embeddings graphs spd hyperbolic-geometry geometric-deep-learning gyrocalculus pytorch knowledge-graph
Language:Python 16
GemsLab / StrucEmbedding-GraphLibrary
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
graph-embeddings structural-roles structural-embeddings role-based-embeddings evaluation
Language:Python 16
sergibro / github-recommendations
GitHub repositories and users recommendations by embeddings
github jupyter-notebook tensorboard graph-embeddings docker
Language:Jupyter Notebook 15
uhh-lt / kb2vec
Vectorizing knowledge bases for entity linking
entity-linking neural graph-embeddings
Language:Python 15
jovitalukasik / SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
nas neural-architecture-search graph-embeddings automl variational-autoencoder graph-neural-networks
Language:Python 14
KrainskiL / CGE.jl
Julia package to Compare Graph Embeddings
graph-embeddings julia graph-clustering cli
Language:Julia 9
alvinzhaowei / vdist2vec
An implementation of vdist2vec model in paper A Learning Based Approach to Predict Shortest-Path Distances
shortest-path-distance graph-embeddings deep-learning
Language:Python 8
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 graph-embeddings link-prediction
Language:Jupyter Notebook 8
davidzyx / HinDroid-with-Embeddings
Experiments on improving the HinDroid model
malware android heterogeneous-networks embeddings meta-paths hindroid graph-embeddings detection
Language:Jupyter Notebook 8
GlassyWing / graph_gru
Reconstructed GRU, used to process the graph sequence.
graph-sequence graph-neural-network graph-embeddings attention precipitation gru ggnn graph-gru
Language:Python 8
JiaWu-Repository / STNE
Social trust Network Embedding (ICDM 2019)
social-network network-embedding signed-networks dataset-wikielec dataset-wikirfa dataset-slashdot dataset-epinions dataset-wikieditor graph-embeddings
Language:Python 7
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
temporal-graphs pytorch-implementation graph-embeddings
Language:Python 7
terraphim / terraphim-ai
Terraphim AI: deterministic AI Assistant
ai graph-embeddings rust rust-lang svelte tauri tauri-app
Language:Rust 7
ImMohammadHosseini / HeCo
:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
graph-attention-model graph-contrastive-learning graph-embeddings graph-neural-networks heterogeneous-graph node-embeddings heterogeneous-graph-neural-network heterogeneous-information-networks
Language:Python 6
jvanname / spectralradiinai
We are applying the notion of the spectral radius to NLP and data represented as graphs.
graph-embeddings nlp-machine-learning
6
giannisnik / segk
Learning Structural Node Representations using Graph Kernels
node-embedding graph-embeddings representation-learning graph-mining
Language:Jupyter Notebook 5
Sanchez2020 / Demo
learning GNNs
graph-convolutional-networks graph-attention-networks pytorch-geometric graph-neural-networks graph-embeddings deeplearning node-classification t-sne
Language:Python 5
tonyduan / graph-embeddings
Methods for embedding the structure of graphs into node features.
graph-embeddings machine-learning
Language:Python 5
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-representation-learning graph-embeddings
Language:C++ 5
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.
graph-embeddings stance-detection signed-graphs
Language:Jupyter Notebook 3
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.
knowledge-graph graph graph-embedding graph-embeddings machine-learning neo4j python pykeen data-mining network-embedding embeddings
Language:Python 3
Sanchez2020 / notes
Personal study notes.
graph-embeddings network-embeddings graph-neural-networks deep-learning machine-learning reviews notes
3
sergibro / concept-graphs
Concept embedding and network analysis of scientific innovations emergence
knowledge-graph concepts graph-embeddings network-analysis
Language:Jupyter Notebook 2
vlukiyanov / pt-splitter
PyTorch implementation of Splitter graph node embeddings
pytorch deepwalk ego-splitting graph-embeddings
Language:Python 2