Projects in Awesome Lists tagged with node-classification

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

biomedical-graphs biomedical-networks deepwalk gae graph-embedding graph-embedding-methods graph-embeddings-evaluation graph-factorization line-embedding link-prediction matrix-factorization network-embedding node-classification node2vec sdne struc2vec

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/seal-ci

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

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/SEAL-CI

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

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 27 Mar 2025

https://github.com/mengliu1998/deepergnn

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

geometric-deep-learning graph-neural-networks node-classification semi-supervised-learning

Last synced: 27 Apr 2025

https://github.com/snap-stanford/gib

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

graph-neural-networks information-bottleneck node-classification representation-learning robustness

Last synced: 21 Jul 2025

https://github.com/thiviyant/torch-rgcn

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

graph-convolutional-network graph-neural-network link-prediction node-classification relational-graphs

Last synced: 09 Oct 2025

https://github.com/BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric

Last synced: 15 Jul 2025

https://github.com/borgwardtlab/togl

Topological Graph Neural Networks (ICLR 2022)

graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric

Last synced: 11 Jul 2025

https://github.com/Dru-Mara/EvalNE

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

benchmark benchmark-framework data-mining evaluation graph-algorithms graph-api graph-embedding graph-representation-learning graphs library link-prediction multilabel-classification network-embedding network-reconstruction networks node-classification python representation-learning research-tool sign-prediction

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/walklets

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

deep-learning deepwalk dimensionality-reduction dont-walk-skip edge-prediction embedding gensim graph-convolution graph-embedding graph-mining graph-neural-networks graphlet machine-learning multiscale node-classification node-embedding node2vec walklet word-embedding word2vec

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/TENE

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

asne attributed-embedding deep-learning deepwalk feature-extraction graph-convolution graph-embedding graph-neural-network implicit-factorization machine-learning matrix-decomposition matrix-factorization network-embedding node-classification node-embedding node2vec pattern-recognition pytorch tadw tensorflow

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/tene

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

asne attributed-embedding deep-learning deepwalk feature-extraction graph-convolution graph-embedding graph-neural-network implicit-factorization machine-learning matrix-decomposition matrix-factorization network-embedding node-classification node-embedding node2vec pattern-recognition pytorch tadw tensorflow

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/pdn

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

bert cheminformatics data-science deep-learning deepwalk gcn gnn gpt-3 graph-classification graph-neural-network graph2vec message-passing molecules multiplex network-science neural-message-passing node-classification pathfinder pytorch transformer

Last synced: 11 Apr 2025

https://github.com/joisino/laf

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

deep-learning gnn graph-neural-networks label-propagation machine-learning node-classification pytorch transductive-learning

Last synced: 07 May 2025

https://github.com/graph-com/graphmaker

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

ddpm generative-model graph-generation graph-neural-networks network-science node-classification pytorch social-network synthetic-data-generation

Last synced: 12 May 2025

https://github.com/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".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 11 Apr 2025

https://github.com/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".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 17 Apr 2025

https://github.com/lgalke/lifelong-learning

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

continual-learning deep-learning evolving-graphs graph-convolutional-networks graph-neural-networks lifelong-learning node-classification pytorch unseen-class-detection

Last synced: 27 Dec 2025

https://github.com/benedekrozemberczki/orbitalfeatures

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

bioinformatics centrality clustering-coefficient complex-networks data-science deepwalk feature-extraction graph-classification graph-enumeration graphlet machine-learning motif network-science node-classification node-embedding node2vec orbit research role2vec sklearn

Last synced: 21 Jun 2025

https://github.com/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

data-augmentation graph-algorithms graph-machine-learning graph-mining imbalanced-data imbalanced-learning machine-learning node-classification

Last synced: 05 May 2025

https://github.com/benedekrozemberczki/resolutions-2019

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

attention-mechanism deep-learning deepwalk gcn graph-classification graph-clustering graph-convolutional-networks graph-embedding graph-kernel machine-learning network-embedding network-science node-classification node-embedding node2vec pytorch resolution scipy sklearn tensorflow

Last synced: 11 Apr 2025

https://github.com/abpaudel/floorplan-graph

Room Classification on Floor Plan Graphs using Graph Neural Networks

graph-convolutional-network graph-neural-network graph-neural-networks node-classification

Last synced: 10 Apr 2025

https://github.com/facebookresearch/forwardgnn

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

forward-learning graph-learning graph-neural-networks link-prediction node-classification

Last synced: 19 Apr 2025

https://github.com/nyxflower/gripnet

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

data-integration graph-neural-networks heterogeneous-graph interconnected-graph link-prediction node-classification pytorch

Last synced: 23 Mar 2025

https://github.com/lirongwu/l2a

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

graph-augmentation graph-self-supervised-learning heterophily-graph node-classification semi-supervised-learning

Last synced: 02 Sep 2025

https://github.com/lirongwu/md-gnn

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

deep-learning disentanglement-learning graph neural-networks node-classification relation-learning semi-supervised-learning

Last synced: 13 Apr 2025

https://github.com/wxxshirley/llmnodebed

Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms" https://arxiv.org/abs/2502.00829

gnn graph-learning graph-neural-networks large-language-models node-classification

Last synced: 28 Oct 2025

https://github.com/zehong-wang/awesome-foundation-models-on-graphs

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

data-augmentation deep-learning few-shot-learning foundation-models graph-classification graph-foundation-model graph-neural-networks graph-representation-learning knowlege-graph link-prediction machine-learning molecule node-classification node-embedding pre-training representation-learning self-supervised-learning transfer-learning unsupervised-learning zero-shot-learning

Last synced: 17 Apr 2025

https://github.com/timkong21/memgraph-graph-analytics-with-networkx

Graph Analytics delivered by MEMGRAPH academy

analytics breadth-first-search c community-detection depth-first-search ford-fulkerson girvan-newman graph k-means-clustering link-analysis link-prediction louvain-community-detection machine-learning networkx node-classification page-rank pathfinding python

Last synced: 18 Jun 2025

https://github.com/andrewwango/neo4j-demos

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

cora-dataset graph-data-science neo4j node-classification northwind-database tabular-vs-graph

Last synced: 23 Jul 2025

https://github.com/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

graph-neural-networks node-classification physical-design vlsi-physical-design vlsi-placement vlsi-watermarking watermarking-algorithm

Last synced: 02 Apr 2025

https://github.com/reshalfahsi/node-classification

Graph Neural Network for Node Classification

cora-dataset graph-neural-network node-classification pytorch-geometric pytorch-lightning

Last synced: 13 Oct 2025