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GitHub topics: node-embeddings

joisino/gnnrecover

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

Language: Python - Size: 2.35 MB - Last synced at: 20 days ago - Pushed at: almost 2 years ago - Stars: 21 - Forks: 1

simondelarue/dynGNN

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

Language: Python - Size: 88 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 1

daiquocnguyen/Graph-Transformer

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

Language: Python - Size: 109 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 622 - Forks: 77

DaminK/GraphOTy

A Graph Optimal Transport Python Package

Language: Python - Size: 137 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

ferencberes/DEBS-graph-stream-tutorial

DEBS 2021: Graph Stream Analytics tutorial

Language: Jupyter Notebook - Size: 4.94 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 0

pcy1302/DMGI

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Language: Python - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 129 - Forks: 25

zeno129/DYANE

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

Language: Python - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

simonepiaggesi/hosgns

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

Language: Jupyter Notebook - Size: 111 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

ImMohammadHosseini/HeCo

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

Language: Python - Size: 236 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ferencberes/ethereum-privacy

Profiling and Deanonymizing Ethereum Users

Language: Python - Size: 68.4 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 58 - Forks: 10

daiquocnguyen/QGNN

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Language: Python - Size: 124 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 9

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

Language: Python - Size: 5.29 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

zixi-liu/Graphical-Neural-Network

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

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

francescopuddu/test-node-embedding

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

Language: Python - Size: 14.6 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

corradomonti/ideological-embeddings

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

Language: Python - Size: 6.91 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

daiquocnguyen/Walk-Transformer

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Language: Python - Size: 86.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 6

Related Keywords
node-embeddings 16 graph-neural-networks 6 machine-learning 4 graph-embeddings 4 deep-learning 3 embeddings 3 heterogeneous-information-networks 2 network-embedding 2 node-classification 2 temporal-graphs 2 graphs 2 transformer 2 text-classification 2 self-attention 2 representation-learning 2 graph-representation-learning 2 graph-classification 2 temporal-networks 2 dynamic-graphs 2 unsupervised-node-embedding 1 graph-attention-model 1 quaternion-algebra 1 quaternion 1 graph-contrastive-learning 1 hamilton-product 1 research 1 privacy 1 graph-analysis 1 ethereum 1 deanonymization 1 cryptocurrency 1 heterogeneous-graph 1 heterogeneous-graph-neural-network 1 random-walk 1 pytorch-implementation 1 inductive-node-embeddings 1 tensorflow 1 statistical-inference 1 papers-with-code 1 opinion-mining 1 maximum-likelihood-estimation 1 ideology-classification 1 generative-model 1 cikm2021 1 classification-algorithm 1 graphneuralnetwork 1 graph-learning 1 gnn-model 1 generates-embeddings 1 deep-neural-networks 1 convolution-neural-network 1 edge-streaming 1 centrality-measures 1 wasserstein-distance 1 trajectory-inference 1 optimal-transport 1 multiplex-networks 1 multimodal 1 multilayer-networks 1 fused-gromov-wasserstein 1 clustering 1 transformer-models 1 graph-transformer 1 graph-machine-learning 1 graph-deep-learning 1 pytorch 1 gnn 1 tensorflow2 1 tensor-decomposition 1 skip-gram 1 network-analysis 1 higher-order 1 text-embeddings 1 motifs 1 graph-generative-model 1 dynamic-networks 1 attributed-graphs 1 unsupervised-learning 1 multiplex-network 1 infomax 1 graph 1 link-prediction 1 graph-algorithms 1