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Topic: "node-embeddings"

daiquocnguyen/Graph-Transformer

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

Language: Python - Size: 109 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 675 - Forks: 77

pcy1302/DMGI

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Language: Python - Size: 33.2 KB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 149 - Forks: 24

ferencberes/ethereum-privacy

Profiling and Deanonymizing Ethereum Users

Language: Python - Size: 68.4 KB - Last synced at: over 2 years ago - Pushed at: about 4 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: almost 3 years ago - Pushed at: about 4 years ago - Stars: 35 - Forks: 9

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: almost 3 years ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 6

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: 6 months ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 1

simondelarue/dynGNN

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

Language: Python - Size: 88 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

ferencberes/DEBS-graph-stream-tutorial

DEBS 2021: Graph Stream Analytics tutorial

Language: Jupyter Notebook - Size: 4.94 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 11 - 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: almost 3 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 2

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: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

zixi-liu/Graphical-Neural-Network

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

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

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: almost 3 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

DaminK/GraphOTy

A Graph Optimal Transport Python Package

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

Astr0Lynx/Stock_Market_Tangle

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.

Language: Python - Size: 783 KB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

GokayGulsoy/Survey-of-Graph-Neural-Network-Models-On-DergiPark-Scientific-Article-Dataset

Repository for the CENG532 (Expert Systems and Knowledge Engineering) Course project

Language: Python - Size: 8.25 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

GeorgeM2000/Net2Net-NE Fork of NKU-IIPLab/Net2Net-NE

Source code for the paper "Zhicheng He, Jie Liu*, Na Li, and Yalou Huang. Learning Network-to-Network Model for Content-rich Network Embedding, KDD 2019."

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

95-ag/graph-ml-project Fork of dannyrichy/graph-ml-project

Graph representation learning — reproducing and analyzing core methods for academic study

Language: Python - Size: 441 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

GeorgeM2000/CANE Fork of thunlp/CANE

I adapt the CANE (Context-Aware Network Embedding) model for compatibility with modern TensorFlow versions. In parallel, I investigate keyword extraction techniques as a means to significantly reduce computational costs while preserving performance comparable to the original approach.

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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 2 years ago - Pushed at: over 2 years ago - Stars: 0 - 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: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Related Topics
graph-neural-networks 7 graph-embeddings 4 machine-learning 4 node-classification 4 embeddings 3 deep-learning 3 representation-learning 3 graphs 2 temporal-graphs 2 network-analysis 2 node2vec 2 link-prediction 2 graph-algorithms 2 temporal-networks 2 dynamic-graphs 2 graph-classification 2 graph-representation-learning 2 self-attention 2 text-classification 2 transformer 2 textual-graph 2 heterogeneous-information-networks 2 graph-mining 2 network-embedding 2 citation-network 2 pagerank 1 cane 1 louvain-algorithm 1 graph-theory 1 girvan-newman-algorithm 1 fintech 1 dfs 1 graph-ml 1 community-detection 1 graphsage 1 big-o 1 bfs 1 algorithm-analysis-and-design 1 algorithm-analysis 1 wasserstein-distance 1 trajectory-inference 1 optimal-transport 1 multiplex-networks 1 multimodal 1 multilayer-networks 1 text-embeddings 1 motifs 1 graph-generative-model 1 dynamic-networks 1 attributed-graphs 1 heterogeneous-graph-neural-network 1 heterogeneous-graph 1 graph-contrastive-learning 1 expert-systems 1 knowledge-engineering 1 graph-attention-model 1 net2net-ne 1 classification-algorithm 1 knowledge-graphs 1 language-models 1 visualize-data 1 union-find-algorithm 1 sentence-encoder 1 deepwalk 1 stock-market 1 python3 1 fused-gromov-wasserstein 1 gnn 1 unsupervised-node-embedding 1 random-walk 1 pytorch-implementation 1 inductive-node-embeddings 1 quaternion-algebra 1 quaternion 1 hamilton-product 1 research 1 privacy 1 graph-analysis 1 ethereum 1 deanonymization 1 cryptocurrency 1 unsupervised-learning 1 multiplex-network 1 infomax 1 graph 1 transformer-models 1 graph-transformer 1 graph-machine-learning 1 graph-deep-learning 1 clustering 1 generates-embeddings 1 deep-neural-networks 1 convolution-neural-network 1 graphneuralnetwork 1 graph-learning 1 gnn-model 1 tensorflow2 1 tensor-decomposition 1 skip-gram 1 higher-order 1