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