node-embeddings

pcy1302/DMGI

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

ferencberes/ethereum-privacy

Profiling and Deanonymizing Ethereum Users

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)

joisino/gnnrecover

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

simondelarue/dynGNN

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

corradomonti/ideological-embeddings

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

ferencberes/DEBS-graph-stream-tutorial

DEBS 2021: Graph Stream Analytics tutorial

ImMohammadHosseini/HeCo

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

simonepiaggesi/hosgns

Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"

zixi-liu/Graphical-Neural-Network

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

gaudelbijay/GraphSAGELite

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 implementation of GraphSAGE is based on transductive training

DaminK/GraphOTy

A Graph Optimal Transport Python Package

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

zeno129/DYANE

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

FaresGh1997/NS_CW

Various Network Science Projects (2021-2022)

francescopuddu/test-node-embedding

A module to test pre-computed graph node embeddings against labeled node classification benchmarks.

khames-lab/node-embedding-gcn-karate

📌Graph Convolutional Network (GCN) on Zachary's karate club network