node-classification

There are 12 repositories under node-classification topic.

THUDM / CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
graph-neural-networks pytorch graph-embedding node-classification graph-classification link-prediction leaderboard gnn-model
Language:Python 1677
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 774
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
network-science network-analysis data-science machine-learning gcn graph-embedding network-embedding community-detection link-prediction node-classification graph-convolution node-embedding graph-neural-network gnn dimensionality-reduction deepwalk node2vec graph2vec benchmark dataset
583
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 270
SGCN
benedekrozemberczki / SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
gcn graphsage graph-convolution graph-embedding deepwalk node2vec graph-attention network-embedding node-classification signed-network sgcn deep-learning graph-neural-networks neural-network pytorch machine-learning pytorch-geometric transformer gpt2 gpt3
Language:Python 267
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 259
vuptran / graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
link-prediction node-classification semi-supervised-learning deep-learning autoencoders graph-representation
Language:Python 253
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 218
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 206
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 152
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 120
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 107
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 102
walklets
benedekrozemberczki / walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
embedding deepwalk walklet multiscale node-embedding graph-embedding machine-learning dimensionality-reduction word2vec node2vec graphlet word-embedding node-classification edge-prediction dont-walk-skip graph-mining gensim graph-neural-networks graph-convolution deep-learning
Language:Python 101
BorgwardtLab / TOGL
Topological Graph Neural Networks (ICLR 2022)
persistent-homology graph-learning iclr2022 machine-learning graph-classification node-classification pytorch pytorch-geometric
Language:Python 100
GemsLab / H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
graph-neural-networks graphs node-classification heterophily signac neurips-2020
Language:Python 90
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 88
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 71
JoonHyung-Park / GraphENS
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
graph-neural-networks pytorch node-classification
Language:Python 69
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 65
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 62
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 57
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 45
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".
node-embedding graph-embedding network-embedding deep-learning node-classification graph-classification machine-learning data-mining networkx graph-convolution graph2vec deepwalk node2vec deep-neural-networks neural-network graph-kernel graph tensorflow pytorch representation-learning
Language:Python 43
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 39
Graph-COM / GraphMaker
code for the paper "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 36
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 34
jwu4sml / DEMO-Net
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
graph-neural-networks weisfeiler-lehman feature-hashing node-classification graph-classification multi-task-learning
Language:Python 27
daiquocnguyen / Caps2NE
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
node-embedding graph-embedding node-classification capsule-network capsule-neural-networks unsupervised-graph-embedding unsupervised-node-embedding network-embedding graph-neural-network
Language:Python 24
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 22
cszhangzhen / MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
graph-classification node-classification graph-pooling gnns multi-view
Language:Python 21
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 20
resolutions-2019
benedekrozemberczki / resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
machine-learning deep-learning graph-convolutional-networks gcn graph-clustering network-embedding node-embedding graph-embedding network-science pytorch tensorflow scipy sklearn attention-mechanism deepwalk node2vec graph-classification node-classification graph-kernel resolution
20
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 20
sung-won-kim / TEG
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
deep-learning equivariant-network few-shot graph-neural-networks node-classification
Language:Python 20
eraseai / erase
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
graph-neural-networks label-noise machine-learning node-classification
Language:Python 18