node-embeddings

There are 1 repository under node-embeddings topic.

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 623
pcy1302 / DMGI
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
unsupervised-learning network-embedding heterogeneous-information-networks node-embeddings multiplex-network graph infomax
Language:Python 138
ferencberes / ethereum-privacy
Profiling and Deanonymizing Ethereum Users
ethereum deanonymization privacy node-embeddings representation-learning research cryptocurrency graph-analysis network-embedding
Language:Python 67
daiquocnguyen / QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
graph-classification graph-embeddings graph-neural-networks graph-representation-learning hamilton-product node-classification node-embeddings quaternion quaternion-algebra text-classification
Language:Python 46
daiquocnguyen / Walk-Transformer
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
graph-embeddings graph-neural-networks inductive-node-embeddings node-classification node-embeddings pytorch-implementation random-walk self-attention transformer unsupervised-node-embedding
Language:Python 39
joisino / gnnrecover
Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)
embeddings gnn graph-neural-networks machine-learning node-embeddings deep-learning pytorch
Language:Python 18
ferencberes / DEBS-graph-stream-tutorial
DEBS 2021: Graph Stream Analytics tutorial
temporal-networks edge-streaming node-embeddings link-prediction centrality-measures graph-algorithms
Language:Jupyter Notebook 11
ideological-embeddings
corradomonti / ideological-embeddings
Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
tensorflow statistical-inference generative-model maximum-likelihood-estimation opinion-mining machine-learning papers-with-code cikm2021 embeddings node-embeddings ideology-classification
Language:Python 9
simondelarue / dynGNN
Representation and learning framework for dynamic graphs using Graph Neural Networks.
graph-neural-networks deep-learning node-embeddings dynamic-graphs temporal-networks
Language:Python 9
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 7
simonepiaggesi / hosgns
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
temporal-graphs representation-learning network-analysis node-embeddings tensorflow2 tensor-decomposition higher-order skip-gram
Language:Jupyter Notebook 7
zixi-liu / Graphical-Neural-Network
CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.
node-embeddings graphneuralnetwork deep-learning gnn-model graph-learning machine-learning
Language:Jupyter Notebook 6
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
node-embeddings generates-embeddings deep-neural-networks convolution-neural-network
Language:Python 4
zeno129 / DYANE
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
attributed-graphs dynamic-graphs dynamic-networks graph-generative-model motifs node-embeddings temporal-graphs text-embeddings
Language:Python 2
DaminK / GraphOTy
A Graph Optimal Transport Python Package
clustering graphs multilayer-networks multimodal multiplex-networks optimal-transport trajectory-inference fused-gromov-wasserstein node-embeddings wasserstein-distance
Language:Python 1
FaresGh1997 / NS_CW
Various Network Science Projects (2021-2022)
centrality-measures graph-machine-learning graph-neural-networks graphs-algorithms knowledge-graph network-science node-embeddings random-graphs
Language:Jupyter Notebook 1
khames-lab / node-embedding-gcn-karate
📌Graph Convolutional Network (GCN) on Zachary's karate club network
graph-convolutional-networks karate-club node-embeddings
Language:Jupyter Notebook 1
RussH-code / Graph-Convolutional-Neural-Network-GCN
graph-convolutional-neural-networks gcn stellargraph-library cora-dataset node-embeddings deep-learning keras-tensorflow
Language:Jupyter Notebook 1
francescopuddu / test-node-embedding
A module to test pre-computed graph node embeddings against labeled node classification benchmarks.
classification-algorithm embeddings graphs node-embeddings machine-learning
Language:Python 0