THUDM/CogDL

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

Language: Python - Size: 9.8 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 1,777 - Forks: 310

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: about 1 month ago - Pushed at: over 2 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: 4 months ago - Pushed at: over 1 year ago - Stars: 623 - Forks: 84

qitianwu/DIFFormer

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

Language: Python - Size: 125 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 299 - Forks: 32

benedekrozemberczki/SGCN

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

Language: Python - Size: 13 MB - Last synced at: about 1 month ago - Pushed at: over 2 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: over 1 year ago - Pushed at: over 1 year 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: about 1 year ago - Pushed at: almost 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: about 2 months ago - Pushed at: about 5 years ago - Stars: 226 - Forks: 76

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: about 2 months ago - Pushed at: over 2 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: about 2 months ago - Pushed at: over 2 years ago - Stars: 155 - Forks: 32

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: 16 days ago - Pushed at: over 2 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: 2 months ago - Pushed at: almost 4 years ago - Stars: 123 - Forks: 16

BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

Language: Python - Size: 1.61 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 122 - Forks: 22

Dru-Mara/EvalNE

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

Language: Python - Size: 849 KB - Last synced at: about 4 hours ago - Pushed at: about 1 year ago - Stars: 106 - 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: 2 months ago - Pushed at: over 2 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 days ago - Pushed at: 7 days 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: 25.1 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 28

benedekrozemberczki/TENE

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

Language: Python - Size: 1.93 MB - Last synced at: 2 months ago - Pushed at: almost 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: 5 months ago - Pushed at: about 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: over 1 year ago - Pushed at: almost 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: over 1 year ago - Pushed at: over 1 year 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: about 2 months ago - Pushed at: 10 months 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: 15 days ago - Pushed at: over 2 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: about 1 month ago - Pushed at: 2 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: 2 months ago - Pushed at: over 2 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: 21 days ago - Pushed at: 21 days ago - Stars: 41 - Forks: 1

daiquocnguyen/QGNN

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

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

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: about 2 years ago - Pushed at: over 5 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: about 2 years ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 4

lgalke/lifelong-learning

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

Language: Python - Size: 142 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 29 - 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: over 2 years ago - Pushed at: about 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: 3 days ago - Pushed at: almost 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: about 1 year ago - Pushed at: about 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: about 2 months ago - Pushed at: 7 months 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: 2 months ago - Pushed at: over 5 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: over 2 years ago - Pushed at: over 4 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: 3 months ago - Pushed at: almost 4 years ago - Stars: 18 - Forks: 5

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

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

Size: 3.61 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 4

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: 10 months ago - Pushed at: 10 months 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: 2 months ago - Pushed at: about 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: over 1 year ago - Pushed at: over 1 year 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: 3 months ago - Pushed at: over 2 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: over 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 2

wzsong17/Signed-Network-Embedding

Language: Python - Size: 625 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 3

nicolas-hbt/versatile-embeddings

Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

Language: Python - Size: 898 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - 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: 183 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 13 - Forks: 2

cszhangzhen/MVPool

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

Language: Python - Size: 1.26 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

gulabpatel/Graph_Neural_Network

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

junwu6/GRADE

Non-IID Transfer Learning on Graphs

Language: Python - Size: 13.2 MB - Last synced at: about 1 year ago - Pushed at: almost 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: about 2 years ago - Pushed at: about 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: over 1 year ago - Pushed at: over 4 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: 3 months ago - Pushed at: over 1 year 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: almost 2 years ago - Pushed at: about 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: 2 months ago - Pushed at: over 2 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: over 2 years ago - Pushed at: over 4 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: 3 months ago - Pushed at: 3 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: 5 months ago - Pushed at: over 4 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: over 2 years ago - Pushed at: over 5 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: 2 days ago - Pushed at: over 4 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: over 2 years ago - Pushed at: over 7 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: about 2 years ago - Pushed at: over 3 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: about 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0

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: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

MicheleCattaneo/Graph-Neural-Networks-Tutorial

GNNs and STGNNs tutorials.

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - 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: 4 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

Toloka/TolokerGraph

Toloker Graph: Interaction of Crowd Annotators

Size: 1.66 MB - Last synced at: about 1 year ago - Pushed at: over 2 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: 10 months ago - Pushed at: almost 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: over 2 years ago - Pushed at: over 2 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: 4 days ago - Pushed at: over 2 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: almost 2 years ago - Pushed at: over 3 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: over 1 year ago - Pushed at: over 1 year 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 1 year ago - Pushed at: over 1 year 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: almost 2 years ago - Pushed at: almost 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: about 2 years ago - Pushed at: about 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: about 1 year ago - Pushed at: over 2 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: 7 days ago - Pushed at: over 2 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: about 1 year ago - Pushed at: about 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: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

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: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ghimohammadr/NACFormer

NACFormer model

Language: Python - Size: 521 KB - Last synced at: 2 months ago - Pushed at: 2 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: 3 months ago - Pushed at: 3 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: 4 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 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: 10 months ago - Pushed at: 10 months 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: almost 2 years ago - Pushed at: over 2 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: 3 months ago - Pushed at: over 2 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: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

comojin1994/GCN

Graph Convolutional Network

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: over 2 years ago - Pushed at: over 4 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: 11 months ago - Pushed at: over 4 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: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

wuzelong/ANEBR

Adversarial Network Embedding with Bootstrapped Representations for Sparse Networks

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cf020031308/LaE

[Neural Networks, Q1] Label as Equilibrium: A Performance Booster for Graph Neural Networks on Node Classification

Language: Python - Size: 12.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Ryan-PG/citation-network-gnn

A project using Graph Neural Networks (GNNs) to classify nodes in the Cora citation network. Implements GCN and GraphSAGE models using PyTorch Geometric to classify academic papers based on citation relationships. Includes preprocessing, model training, evaluation, and visualizations.

Language: Python - Size: 628 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

locuoco/graph-attention-networks

Graph Attention Networks (GATs) for node classification

Language: Python - Size: 47.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

vantahawk/Graph_Learning_Group6

Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University

Language: Python - Size: 47.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

he-tiantian/PMP-GNNs

Pytorch implementation of Polarized message-passing graph neural networks published in Artificial Intelligence, 2024.

Language: Python - Size: 31.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

parsa-abbasi/NodeClassification

This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NamyongPark/forwardgnn-datasplits

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

Size: 131 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mr-ravin/Node-Classification-on-Cora-Dataset-using-GNN-in-Pytorch 📦

Node Classification on large Knowledge Graphs of Cora Dataset using Graph Neural Network (GNN) in Pytorch.

Language: Python - Size: 557 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AlbertoFormaggio1/fine_tuning_classification_prediction_GNN

Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova

Language: Python - Size: 867 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0