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node-embeddings

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daiquocnguyen / Graph-Transformer

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

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

Updated Aug 16, 2022
Python

pcy1302 / DMGI

Star

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

graph unsupervised-learning network-embedding heterogeneous-information-networks node-embeddings multiplex-network infomax

Updated Mar 31, 2023
Python

ferencberes / ethereum-privacy

Star

Profiling and Deanonymizing Ethereum Users

privacy research ethereum cryptocurrency representation-learning network-embedding graph-analysis deanonymization node-embeddings

Updated Nov 18, 2021
Python

daiquocnguyen / QGNN

Star

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

Star

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

joisino / gnnrecover

Star

Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)

machine-learning deep-learning pytorch embeddings graph-neural-networks gnn node-embeddings

Updated Jun 1, 2023
Python

simondelarue / dynGNN

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Representation and learning framework for dynamic graphs using Graph Neural Networks.

deep-learning temporal-networks graph-neural-networks dynamic-graphs node-embeddings

Updated Feb 4, 2022
Python

ferencberes / DEBS-graph-stream-tutorial

Star

DEBS 2021: Graph Stream Analytics tutorial

graph-algorithms temporal-networks link-prediction centrality-measures edge-streaming node-embeddings

Updated Jun 29, 2021
Jupyter Notebook

corradomonti / ideological-embeddings

Star

Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"

machine-learning tensorflow embeddings statistical-inference generative-model opinion-mining maximum-likelihood-estimation papers-with-code node-embeddings ideology-classification cikm2021

Updated Sep 8, 2021
Python

zixi-liu / Graphical-Neural-Network

Star

CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.

machine-learning deep-learning graph-learning graphneuralnetwork node-embeddings gnn-model

Updated Dec 10, 2022
Jupyter Notebook

ImMohammadHosseini / HeCo

Star

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

graph-embeddings heterogeneous-information-networks graph-neural-networks graph-attention-model heterogeneous-graph heterogeneous-graph-neural-network node-embeddings graph-contrastive-learning

Updated Aug 13, 2023
Python

simonepiaggesi / hosgns

Star

[EPJ DS] Time-varying graph representation learning via higher-order skip-gram with negative sampling

representation-learning network-analysis skip-gram tensor-decomposition higher-order tensorflow2 temporal-graphs node-embeddings

Updated Jul 6, 2023
Jupyter Notebook

RussH-code / Graph-Convolutional-Neural-Network-GCN

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deep-learning keras-tensorflow gcn cora-dataset graph-convolutional-neural-networks node-embeddings stellargraph-library

Updated Jul 19, 2021
Jupyter Notebook

A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood. Here, the impl…

deep-neural-networks convolution-neural-network node-embeddings generates-embeddings

Updated Jan 19, 2026
Python

DaminK / GraphOTy

Star

A Graph Optimal Transport Python Package

clustering graphs multiplex-networks optimal-transport multilayer-networks multimodal trajectory-inference wasserstein-distance node-embeddings fused-gromov-wasserstein

Updated May 6, 2024
Python

zeno129 / DYANE

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DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.

motifs dynamic-networks dynamic-graphs temporal-graphs text-embeddings node-embeddings attributed-graphs graph-generative-model

Updated Oct 22, 2023
Python

Astr0Lynx / Stock_Market_Tangle

Star

A team project for the course Algorithm Analysis and Design at IIIT-Hyderabad. Primarily features modelling the stock market as a graph, testing the metrics of numerous algorithms for modeling correlation networks and detecting market fragmentation.

graph-algorithms community-detection pagerank python3 fintech stock-market dfs graph-theory big-o bfs network-analysis algorithm-analysis visualize-data node2vec louvain-algorithm union-find-algorithm algorithm-analysis-and-design node-embeddings girvan-newman-algorithm

Updated Dec 19, 2025
Python

kshitijbhandari / Unsupervised-Clustering-of-Actor-Movie-Bipartite-Graphs-Using-Random-Walk-Embeddings

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Grouped 3,411 actors into 3 communities and 1,292 movies into 50 clusters using heterogeneous random walks and Word2Vec embeddings on a bipartite actor-movie network. Designed custom graph-aware metrics for optimal cluster selection and visualized results with t-SNE.