node-classification

There are 103 repositories under node-classification topic.

  • THUDM/CogDL

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

    Language:Python1.7k42117314
  • ClusterGCN

    benedekrozemberczki/ClusterGCN

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

    Language:Python7802038135
  • datasets

    benedekrozemberczki/datasets

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

    593141283

  • qitianwu/DIFFormer

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

    Language:Python278111532
  • SGCN

    benedekrozemberczki/SGCN

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

    Language:Python26812759

  • qitianwu/NodeFormer

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

    Language:Jupyter Notebook26741925

  • vuptran/graph-representation-learning

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

    Language:Python25311768

  • xiangyue9607/BioNEV

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

    Language:Python221111775
  • SEAL-CI

    benedekrozemberczki/SEAL-CI

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

    Language:Python20710349

  • mengliu1998/DeeperGNN

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

    Language:Python1527733

  • snap-stanford/GIB

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

    Language:Jupyter Notebook12046424

  • CRIPAC-DIG/H-GCN

    [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

    Language:Python1155926

  • thiviyanT/torch-rgcn

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

    Language:Python1135916
  • EvalNE

    Dru-Mara/EvalNE

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

    Language:Python10351326

  • BorgwardtLab/TOGL

    Topological Graph Neural Networks (ICLR 2022)

    Language:Python10281820
  • walklets

    benedekrozemberczki/walklets

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

    Language:Python1019222

  • GemsLab/H2GCN

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

    Language:Python9341016

  • 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:Python9041028

  • JoonHyung-Park/GraphENS

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

    Language:Python73146
  • TENE

    benedekrozemberczki/TENE

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

    Language:Python714017

  • qitianwu/GraphOOD-GNNSafe

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

    Language:Python68444

  • berlincho/RGCN-pytorch

    Pytorch implementation of Relational GCN for node classification

    Language:Python632414
  • PDN

    benedekrozemberczki/PDN

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

    Language:Python572411

  • daiquocnguyen/QGNN

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

    Language:Python46329
  • FEATHER

    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:Python433612

  • Graph-COM/GraphMaker

    code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

    Language:Python43115

  • daiquocnguyen/Walk-Transformer

    From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

    Language:Python39217

  • ytchx1999/PyG-OGB-Tricks

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

    Language:Python35154

  • junwu6/DEMO-Net

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

    Language:Python26328

  • lgalke/lifelong-learning

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

    Language:Python25405

  • daiquocnguyen/Caps2NE

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

    Language:Python24316

  • cszhangzhen/MVPool

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

    Language:Python21122

  • benedekrozemberczki/OrbitalFeatures

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

    Language:Python202111
  • resolutions-2019

    benedekrozemberczki/resolutions-2019

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

    205010

  • cmavro/GRAD

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

    Language:Python20116

  • sung-won-kim/TEG

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

    Language:Python20210