node-classification

There are 116 repositories under node-classification topic.

  • THUDM/CogDL

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

    Language:Python1.8k41118310
  • ClusterGCN

    benedekrozemberczki/ClusterGCN

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

    Language:Python7971838135
  • datasets

    benedekrozemberczki/datasets

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

    627131284

  • qitianwu/NodeFormer

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

    Language:Jupyter Notebook30232131

  • qitianwu/DIFFormer

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

    Language:Python29571532
  • SGCN

    benedekrozemberczki/SGCN

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

    Language:Python27310757

  • vuptran/graph-representation-learning

    [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification

    Language:Python25511766

  • xiangyue9607/BioNEV

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

    Language:Python226101776
  • SEAL-CI

    benedekrozemberczki/SEAL-CI

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

    Language:Python2118343

  • mengliu1998/DeeperGNN

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

    Language:Python1565732

  • snap-stanford/GIB

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

    Language:Jupyter Notebook13446424

  • BorgwardtLab/TOGL

    Topological Graph Neural Networks (ICLR 2022)

    Language:Python12391822

  • thiviyanT/torch-rgcn

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

    Language:Python1225916

  • CRIPAC-DIG/H-GCN

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

    Language:Python1214927
  • EvalNE

    Dru-Mara/EvalNE

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

    Language:Python10661326
  • walklets

    benedekrozemberczki/walklets

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

    Language:Python1058222

  • GemsLab/H2GCN

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

    Language:Python10141118

  • 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:Python9631028

  • JoonHyung-Park/GraphENS

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

    Language:Python80148

  • qitianwu/GraphOOD-GNNSafe

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

    Language:Python80355
  • TENE

    benedekrozemberczki/TENE

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

    Language:Python743017

  • berlincho/RGCN-pytorch

    Pytorch implementation of Relational GCN for node classification

    Language:Python731414
  • PDN

    benedekrozemberczki/PDN

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

    Language:Python581411

  • Graph-COM/GraphMaker

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

    Language:Python55237

  • joisino/laf

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

    Language:Python55307
  • 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:Python502613

  • daiquocnguyen/QGNN

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

    Language:Python49227

  • daiquocnguyen/Walk-Transformer

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

    Language:Python42116

  • ytchx1999/PyG-OGB-Tricks

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

    Language:Python37154

  • cmavro/GRAD

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

    Language:Python29117

  • lgalke/lifelong-learning

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

    Language:Python29204

  • junwu6/DEMO-Net

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

    Language:Python27328

  • benedekrozemberczki/OrbitalFeatures

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

    Language:Python261111

  • daiquocnguyen/Caps2NE

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

    Language:Python24316

  • sung-won-kim/TEG

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

    Language:Python24110
  • BAT

    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:Python24121