THUDM/CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Language: Python - Size: 9.8 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1,795 - Forks: 308

benedekrozemberczki/ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Language: Python - Size: 14.2 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 799 - Forks: 136

benedekrozemberczki/datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

Size: 91.4 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 648 - Forks: 85

qitianwu/DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Language: Python - Size: 137 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 301 - Forks: 32

benedekrozemberczki/SGCN

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Language: Python - Size: 13 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 275 - Forks: 57

qitianwu/NodeFormer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Language: Jupyter Notebook - Size: 353 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 255 - Forks: 25

vuptran/graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Language: Python - Size: 17.7 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 253 - Forks: 68

xiangyue9607/BioNEV

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

Language: Python - Size: 27 MB - Last synced at: 24 days ago - Pushed at: over 5 years ago - Stars: 228 - Forks: 75

benedekrozemberczki/SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Language: Python - Size: 5.08 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 211 - Forks: 43

mengliu1998/DeeperGNN

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Language: Python - Size: 72.3 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 155 - Forks: 32

Zehong-Wang/Awesome-Foundation-Models-on-Graphs

A collection of graph foundation models including papers, codes, and datasets.

Size: 3.68 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 153 - Forks: 14

snap-stanford/GIB

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Language: Jupyter Notebook - Size: 211 KB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 137 - Forks: 26

thiviyanT/torch-rgcn

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Language: Python - Size: 14 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 129 - Forks: 19

BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

Language: Python - Size: 1.61 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 124 - Forks: 24

Dru-Mara/EvalNE

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Language: Python - Size: 851 KB - Last synced at: 14 days ago - Pushed at: 16 days ago - Stars: 107 - Forks: 26

benedekrozemberczki/walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Language: Python - Size: 2.99 MB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 105 - Forks: 22

GemsLab/H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Language: Python - Size: 19.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 103 - Forks: 19

jhljx/CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Language: Python - Size: 25 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 94 - Forks: 29

benedekrozemberczki/TENE

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Language: Python - Size: 1.93 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 74 - Forks: 17

berlincho/RGCN-pytorch

Pytorch implementation of Relational GCN for node classification

Language: Python - Size: 239 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 14

qitianwu/GraphOOD-GNNSafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Language: Python - Size: 2.37 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 64 - Forks: 4

JoonHyung-Park/GraphENS

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)

Language: Python - Size: 383 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 59 - Forks: 5

joisino/laf

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

Language: Python - Size: 188 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 7

benedekrozemberczki/PDN

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Language: Python - Size: 4.8 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 58 - Forks: 11

Graph-COM/GraphMaker

[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Language: Python - Size: 1.86 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 57 - Forks: 7

benedekrozemberczki/FEATHER

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Language: Python - Size: 14.3 MB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 50 - Forks: 13

WxxShirley/LLMNodeBed

[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"

Language: Python - Size: 6.14 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 41 - Forks: 1

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

lgalke/lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

Language: Python - Size: 142 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 5

jwu4sml/Graph-Embedding-Techniques

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

Size: 104 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 31 - Forks: 11

ytchx1999/PyG-OGB-Tricks

Bags of Tricks in OGB (node classification) with GCNs.

Language: Python - Size: 1.01 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 4

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

benedekrozemberczki/OrbitalFeatures

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)

Language: Python - Size: 771 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 11

junwu6/DEMO-Net

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Language: Python - Size: 106 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 8

ZhiningLiu1998/BAT

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

Language: Python - Size: 122 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 1

benedekrozemberczki/resolutions-2019

A list of data mining and machine learning papers that I implemented in 2019.

Size: 33.2 KB - Last synced at: 9 months ago - Pushed at: about 6 years ago - Stars: 21 - Forks: 10

daiquocnguyen/Caps2NE

A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)

Language: Python - Size: 170 MB - Last synced at: almost 3 years ago - Pushed at: about 5 years ago - Stars: 20 - Forks: 4

abpaudel/floorplan-graph

Room Classification on Floor Plan Graphs using Graph Neural Networks

Language: Python - Size: 38.1 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 5

eraseai/erase

[CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"

Language: Python - Size: 5.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 2

facebookresearch/forwardgnn

This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).

Language: Python - Size: 425 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 2

sung-won-kim/TEG

The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.

Language: Python - Size: 69.3 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 0

NYXFLOWER/GripNet

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)

Language: Python - Size: 88 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 2

graphprojects/CM-GCL

Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

Language: Python - Size: 3.58 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 2

wzsong17/Signed-Network-Embedding

Language: Python - Size: 625 KB - Last synced at: almost 3 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 3

NSLab-CUK/Community-aware-Graph-Transformer

Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 189 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 14 - Forks: 2

nicolas-hbt/versatile-embeddings

Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

Language: Python - Size: 898 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 3

cszhangzhen/MVPool

Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)

Language: Python - Size: 1.26 MB - Last synced at: almost 3 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 0

gulabpatel/Graph_Neural_Network

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 0

junwu6/GRADE

Non-IID Transfer Learning on Graphs

Language: Python - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

HipGraph/Force2Vec

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

Language: Python - Size: 4.09 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 8

llan-ml/MetaTNE

Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"

Language: Python - Size: 1.97 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 0

LirongWu/L2A

Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"

Language: Python - Size: 3.06 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 1

cmavro/GRAD

[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

Language: Python - Size: 2.98 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

LirongWu/MD-GNN

Code for NCAA paper "Multi-level Disentanglement Graph Neural Network"

Language: Python - Size: 86 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

xnuohz/ARMA-dgl

A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)

Language: Python - Size: 23.4 KB - Last synced at: almost 3 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 1

RoyKashob/LnL-GNN

[IJCNN 2021] Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation

Language: Jupyter Notebook - Size: 802 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 1

berlincho/GCN-with-Hinton-Knowledge-Distillation

The Pytorch implementation of Graph convolution network (Kipf et.al. 2017) with vanilla Teacher-Student architecture of knowledge distillation (Hinton et.al 2015).

Language: Python - Size: 5.1 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 1

salimandre/graph-clustering

unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data

Language: Python - Size: 4.63 MB - Last synced at: almost 3 years ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 2

AlessandraMonaco/Transductive-Node-Classification-with-GAT-NN

This project performs node classification in Pubmed and Cora citation graphs, using Graph Attention Neural Networks.

Language: Jupyter Notebook - Size: 48 MB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 1

gganssle/data-day-tx-2018

Evaluation of gender bias in a graph-based classification algorithm.

Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: almost 3 years ago - Pushed at: almost 8 years ago - Stars: 7 - Forks: 4

HipGraph/MarkovGNN

PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"

Language: Python - Size: 1.56 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 3

junwu6/ImVerde

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

Language: Python - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 0

MicheleCattaneo/Graph-Neural-Networks-Tutorial

GNNs and STGNNs tutorials.

Language: Jupyter Notebook - Size: 3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1

cf020031308/LI-GNN 📦

Graph Equilibrium Networks: Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models

Language: Python - Size: 28.3 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

facebookresearch/glemos

This repository provides code and data for the paper "GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection" (NeurIPS 2023).

Language: Python - Size: 10.8 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Toloka/TolokerGraph

Toloker Graph: Interaction of Crowd Annotators

Size: 1.66 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

g-despot/social-network-analyzer

A simple program that can perform social network analysis tasks on graph data.

Language: Python - Size: 346 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

asarigun/mma

Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric

Language: Python - Size: 5.06 MB - Last synced at: almost 3 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

colflip/gnns-fewshot

code implementation of GNNs in few-shot learning: GCN, GAT, GraphSAGE to the node classification task.

Language: Python - Size: 129 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

farkoo/GNN-Citations

Node Classification with Graph Neural Networks

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

GraphResearcher/HyGCL-DC

Official source code of ICDM2023 paper "Hypergraph Contrastive Learning for Drug Trafficking Community Detection".

Language: Python - Size: 25.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

guaiqihen/MVE

This project is the code for our IP&M Journal paper, Multi-view Enhanced Zero-Shot Node Classification, which is the optimized and advanced version of our IJCAI paper, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.

Language: Python - Size: 73.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

XsLangley/CoCoS

This is the code repository of AAAI2022 paper 'CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing'

Language: Python - Size: 1.59 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

SirArthur7/GCN-ISI-Summer-School

ISI 7th Summer School Project on implementing 2-layer GCN on CORA, CiteSeer, PubMed datasets, using PyTorch, and analyzing Oversmoothing by going deep upto 1024 layers

Language: Jupyter Notebook - Size: 8.88 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

GabrieleColapelle/Improving-GNNs-exploiting-information-of-graphs

Improving Heterogeneus Graph Transformer archiecture exploiting structural information of graph

Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

TimKong21/MEMGRAPH-Graph-Analytics-with-NetworkX

Graph Analytics delivered by MEMGRAPH academy

Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

junwu6/MARINE

Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy

Language: Python - Size: 236 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

u1234x1234/KDD-Cup-2020-AutoGraph-Challenge

8th place solution to https://www.automl.ai/competitions/3

Language: Python - Size: 80.1 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

lucas-hc-hsu/FincGAN

Fraud detection framework combining GAN oversampling with heterogeneous GNNs to tackle class imbalance. (IEEE ICASSP 2024)

Language: Python - Size: 19.2 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

janggun-jeon/Scale-Regularization

SCI research article - Effects of Scale Regularization in Fraud Detection Graphs

Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

shruti-sivakumar/Social-Media-Influence-Analysis

An analysis of social media networks using graph theory and machine learning. Investigates Facebook verified page interactions via centrality metrics, community detection, and page characterisation using structural embeddings.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

himanshkr03/GraphML-Cora-Applying-Graph-Machine-Learning-to-the-Cora-Citation-Network

Graph Machine Learning on the Cora citation dataset using GNN (GCN), traditional ML models, and Genetic Algorithm for hyperparameter optimization.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ghimohammadr/NACFormer

NACFormer model

Language: Python - Size: 521 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

ruisizhang123/PD_WM_GNN

[MLCAD'24] Automated Physical Design Watermarking Leveraging Graph Neural Networks & [TCAD'25] ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection

Language: C++ - Size: 87.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

wuzelong/RSANE

A Novel Robust Integrating Method by High-order Proximity for Self-supervised Attribute Network Embedding

Language: Jupyter Notebook - Size: 44.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

psycoplankton/Fuzzy-Representation-Learning

A Fuzzy Pre-procressing layer which can be used with embeddings to enrich the information content.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Linnore/GNN-Playground

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

Language: Python - Size: 330 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

TAU-MLwell/TREE-G---Decision-Trees-with-Dynamic-Graph-Features

Decision trees for graph data. Implementation of the model from the paper "Decision Trees with Dynamic Graph Features".

Language: Python - Size: 143 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Andrewwango/neo4j-demos

Demonstrating and visualising graph data science and ML using neo4j and GDS with the Northwind and Cora datasets

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

LamineTourelab/Machine-Learning-with-Graphs Fork of LeilaOutem/Stanford_coLabs

Graphs are a general language for describing and analyzing entities with relations/interactions.

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

comojin1994/GCN

Graph Convolutional Network

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: almost 3 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

PinaxX/KIN

KIN (K Immediate Neighbors) is a machine learning algorithm inspired by KNN (K Nearest Neighbors) which has been adjusted to graph-structured data.

Language: Python - Size: 154 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

AIMedLab/BioNEV Fork of ping-zhang/BioNEV

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

Size: 27 MB - Last synced at: almost 3 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Lordefex/gnn-node-link-pytorch

🔍 Explore Graph Neural Networks for node classification and link prediction using PyTorch Geometric, validating models on Cora and PubMed datasets.

Size: 1.29 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Birunda3000/GNNs_X_GAE-S_cla

Repositório de TCC com pipeline completo para experimentos com GNNs: geração de embeddings (GAE/VGAE), avaliação com múltiplos classificadores e ambiente reproduzível via Dev Containers.

Language: Python - Size: 730 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

vuptran/node-classification

Large-Scale Node Classification with PyTorch Geometric and Lightning

Language: Python - Size: 27.3 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

KonNik88/gnn-node-link-pytorch

Graph Neural Networks (GCN, GraphSAGE, GAT) on Cora/PubMed with PyTorch Geometric. Node classification, link prediction, baselines, and explainability (GNNExplainer)

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 9 days ago - Pushed at: 12 days 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

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