node-classification

There are 14 repositories under node-classification topic.

THUDM / CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
gnn-model graph-classification graph-embedding graph-neural-networks leaderboard link-prediction node-classification pytorch
Language:Python 1807
ClusterGCN
benedekrozemberczki / ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
gcn graph-convolution graph-neural-networks graph-convolutional-networks deepwalk node2vec pytorch graphsage graph2vec musae gemsec diff2vec community-detection clustering graph-clustering node-classification neural-network deep-learning metis louvain
Language:Python 805
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec
642
qitianwu / NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
graph-neural-networks graph-structure-learning graph-transformer node-classification pytorch image-classification large-graph neurips-2022 pytorch-geometric relational-learning text-classification
Language:Jupyter Notebook 313
qitianwu / DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
attention diffusion diffusion-equation geometric-deep-learning graph-neural-networks graph-transformer iclr2023 image-classification large-graph node-classification pytorch pytorch-geometric pytorch-geometric-temporal spatial-temporal-forecasting text-classification transformer
Language:Python 311
SGCN
benedekrozemberczki / SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
deep-learning deepwalk gcn gpt2 gpt3 graph-attention graph-convolution graph-embedding graph-neural-networks graphsage machine-learning network-embedding neural-network node-classification node2vec pytorch pytorch-geometric sgcn signed-network transformer
Language:Python 276
vuptran / graph-representation-learning
[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
link-prediction node-classification semi-supervised-learning deep-learning autoencoders graph-representation network-embedding
Language:Python 254
xiangyue9607 / BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
graph-embedding graph-embeddings-evaluation graph-embedding-methods biomedical-networks node-classification link-prediction network-embedding deepwalk node2vec line-embedding struc2vec sdne gae matrix-factorization graph-factorization biomedical-graphs
Language:Python 227
SEAL-CI
benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms deepwalk node2vec graph-neural-network graph-representation-learning network-embedding graph-embedding graph-convolution machine-learning-algorithms gnn graph-neural-networks
Language:Python 212
mengliu1998 / DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
graph-neural-networks node-classification semi-supervised-learning geometric-deep-learning
Language:Python 155
snap-stanford / GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
graph-neural-networks information-bottleneck representation-learning robustness node-classification
Language:Jupyter Notebook 137
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
130
thiviyanT / torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
link-prediction node-classification relational-graphs graph-neural-network graph-convolutional-network
Language:Python 129
BorgwardtLab / TOGL
Topological Graph Neural Networks (ICLR 2022)
persistent-homology graph-learning iclr2022 machine-learning graph-classification node-classification pytorch pytorch-geometric
Language:Python 124
CRIPAC-DIG / H-GCN
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
graph-convolutional-networks graph-neural-networks hierarchical-models machine-learning network-mining node-classification semi-supervised-learning
Language:Python 123
EvalNE
Dru-Mara / EvalNE
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
link-prediction evaluation graph-embedding graphs networks network-embedding data-mining python library research-tool benchmark benchmark-framework representation-learning graph-representation-learning graph-algorithms graph-api network-reconstruction node-classification multilabel-classification sign-prediction
Language:Python 106
GemsLab / H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
graph-neural-networks graphs heterophily neurips-2020 node-classification signac
Language:Python 106
walklets
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
Language:Python 105
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
dynamic-graphs graph-convolutional-network graph-representation-learning network-embedding graph-neural-networks graph-embedding dynamic-graph-algorithm dynamic-graph-processing graph-embedding-approaches link-prediction edge-classification graph-centrality-prediction node-classification dynamic-graph-embedding graph-neural-network temporal-graph-networks
Language:Python 94
JoonHyung-Park / GraphENS
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
graph-neural-networks pytorch node-classification
Language:Python 83
qitianwu / GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
anamoly-detection artificial-intelligence deep-learning distribution-shift geometric-deep-learning graph-neural-networks label-propagation large-graph node-classification out-of-distribution-detection outlier-detection pytorch pytorch-geometric trustworthy-ai out-of-distribution-generalization
Language:Python 83
berlincho / RGCN-pytorch
Pytorch implementation of Relational GCN for node classification
gcn gnn rgcn pytorch-implementation aifb node-classification mutag bgs pytorch graph-convolutional-networks graph-representation-learning
Language:Python 76
TENE
benedekrozemberczki / TENE
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
deep-learning network-embedding machine-learning node-embedding attributed-embedding deepwalk node2vec graph-convolution graph-neural-network matrix-factorization implicit-factorization feature-extraction pattern-recognition asne tadw tensorflow pytorch graph-embedding matrix-decomposition node-classification
Language:Python 74
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 synthetic-data-generation social-network
Language:Python 64
WxxShirley / LLMNodeBed
[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
gnn graph-learning graph-neural-networks large-language-models node-classification
Language:Python 63
PDN
benedekrozemberczki / PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
gcn gnn deepwalk multiplex graph2vec pytorch graph-neural-network deep-learning pathfinder message-passing neural-message-passing cheminformatics molecules graph-classification node-classification network-science data-science transformer bert gpt-3
Language:Python 58
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
Language:Python 57
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".
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
Language:Python 49
daiquocnguyen / QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
graph-classification node-classification graph-representation-learning quaternion graph-neural-networks graph-embeddings node-embeddings text-classification hamilton-product quaternion-algebra
Language:Python 49
daiquocnguyen / Walk-Transformer
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
node-classification node-embeddings graph-embeddings graph-neural-networks inductive-node-embeddings unsupervised-node-embedding self-attention random-walk transformer pytorch-implementation
Language:Python 42
ytchx1999 / PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
ogb graph-neural-networks graph-convolutional-networks open-graph-benchmark node-classification residual-connections gnns torch-geometric
Language:Python 37
cmavro / GRAD
[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
graph-neural-networks knowledge-distillation language-model node-classification
Language:Python 30
lgalke / lifelong-learning
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
continual-learning deep-learning graph-convolutional-networks graph-neural-networks pytorch lifelong-learning node-classification evolving-graphs unseen-class-detection
Language:Python 30
junwu6 / DEMO-Net
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
feature-hashing graph-classification graph-neural-networks multi-task-learning node-classification weisfeiler-lehman
Language:Python 28
benedekrozemberczki / OrbitalFeatures
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
motif node2vec deepwalk orbit graphlet centrality clustering-coefficient graph-enumeration sklearn research machine-learning network-science complex-networks feature-extraction data-science bioinformatics graph-classification node-embedding node-classification role2vec
Language:Python 26
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
data-augmentation graph-algorithms graph-machine-learning graph-mining imbalanced-data imbalanced-learning machine-learning node-classification
Language:Python 25