node-embeddings

Here are 19 public repositories matching this topic...

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

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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

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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

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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

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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

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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

simonepiaggesi / hosgns

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Data and code repository from "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

ImMohammadHosseini / HeCo

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✨ 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

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

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