Node Classification

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139 papers with code · Graphs

The node classification task is one where the algorithm has to determine the labelling of samples (represented as nodes) by looking at the labels of their neighbours.

( Image credit: Fast Graph Representation Learning With PyTorch Geometric )

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DATASET	BEST METHOD	PAPER TITLE	COMPARE
Cora	SplineCNN	SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels	See all
Pubmed	GNN RH-U	Certifiable Robustness and Robust Training for Graph Convolutional Networks	See all
Citeseer	AdaGCN	AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models	See all
Cora with Public Split: fixed 20 nodes per class	AIR-GCN	GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction	See all
CiteSeer with Public Split: fixed 20 nodes per class	LDS-GNN	Learning Discrete Structures for Graph Neural Networks	See all
PubMed with Public Split: fixed 20 nodes per class	GCN(predicted-targets)	GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning	See all
PPI	GraphSAINT	GraphSAINT: Graph Sampling Based Inductive Learning Method	See all
CiteSeer (0.5%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
PubMed (0.1%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
PubMed (0.03%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
Cora (3%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
PubMed (0.05%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
Cora (1%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
CiteSeer (1%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
Cora (0.5%)	Truncated Krylov	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	See all
Reddit	JKNet+DropEdge	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	See all
Cora Full-supervised	IncepGCN+DropEdge	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	See all
Citeseer Full-supervised	IncepGCN+DropEdge	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	See all
BlogCatalog	GraRep	GraRep: Learning Graph Representations with Global Structural Information	See all
Pubmed Full-supervised	GraphSAGE+DropEdge	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	See all
Wikipedia	GraphGAN	GraphGAN: Graph Representation Learning with Generative Adversarial Nets	See all
NELL	DFNet-ATT	DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters	See all
MS ACADEMIC	APPNP	Predict then Propagate: Graph Neural Networks meet Personalized PageRank	See all
MUTAG	Path Tree	Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph	See all
AM	R-GCN	Modeling Relational Data with Graph Convolutional Networks	See all
BGS	RDF2Vec+SVM	RDF2Vec: RDF Graph Embeddings and Their Applications	See all
AIFB	R-GCN	Modeling Relational Data with Graph Convolutional Networks	See all
Coauthor CS	GCN (PPR Diffusion)	Diffusion Improves Graph Learning	See all
Cora: fixed 20 node per class	DSGCN	Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks	See all
Deezer Croatia	GEMSEC 2	GEMSEC: Graph Embedding with Self Clustering	See all
Wiki	DANMF	Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection	See all
AMZ Comp	GCN (Heat Diffusion)	Diffusion Improves Graph Learning	See all
Deezer Hungary	Smooth GEMSEC 2	GEMSEC: Graph Embedding with Self Clustering	See all
AMZ Photo	JK (Heat Diffusion)	Diffusion Improves Graph Learning	See all
Amazon2M	Cluster-GCN	Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks	See all
Flickr	LINE	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding	See all
YouTube	LINE	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding	See all
Deezer Romania	GEMSEC 2	GEMSEC: Graph Embedding with Self Clustering	See all
20NEWS	GraRep	GraRep: Learning Graph Representations with Global Structural Information	See all

Subtasks

Heterogeneous Node Classification

1 leaderboard

4 papers with code

Greatest papers with code

Diffusion Improves Graph Learning

NeurIPS 2019 • rusty1s/pytorch_geometric •

In this work, we remove the restriction of using only the direct neighbors by introducing a powerful, yet spatially localized graph convolution: Graph diffusion convolution (GDC).

SOTA for Node Classification on Coauthor CS

NODE CLASSIFICATION

7,083

Paper
Code

Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks

9 Apr 2019 • rusty1s/pytorch_geometric •

We propose a dynamic neighborhood aggregation (DNA) procedure guided by (multi-head) attention for representation learning on graphs.

#6 best model for Node Classification on Citeseer

NODE CLASSIFICATION REPRESENTATION LEARNING

7,083

Paper
Code

Fast Graph Representation Learning with PyTorch Geometric

6 Mar 2019 • rusty1s/pytorch_geometric •

We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point clouds and manifolds, built upon PyTorch.

#2 best model for Graph Classification on REDDIT-B

GRAPH CLASSIFICATION GRAPH REPRESENTATION LEARNING NODE CLASSIFICATION RELATIONAL REASONING

7,083

Paper
Code

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

CVPR 2018 • rusty1s/pytorch_geometric •

We present Spline-based Convolutional Neural Networks (SplineCNNs), a variant of deep neural networks for irregular structured and geometric input, e. g., graphs or meshes.

SOTA for Node Classification on Cora (using extra training data)

GRAPH CLASSIFICATION NODE CLASSIFICATION

7,083

Paper
Code

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

3 Sep 2019 • dmlc/dgl •

Accelerating research in the emerging field of deep graph learning requires new tools.

#13 best model for Node Classification on Cora

NODE CLASSIFICATION

4,433

Paper
Code

Semi-Supervised Classification with Graph Convolutional Networks

9 Sep 2016 • tkipf/gcn •

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.

SOTA for Graph Classification on IPC-lifted

DOCUMENT CLASSIFICATION GRAPH CLASSIFICATION GRAPH REGRESSION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

4,395

Paper
Code

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

NeurIPS 2016 • tkipf/gcn •

In this work, we are interested in generalizing convolutional neural networks (CNNs) from low-dimensional regular grids, where image, video and speech are represented, to high-dimensional irregular domains, such as social networks, brain connectomes or words' embedding, represented by graphs.

#4 best model for Skeleton Based Action Recognition on SBU

NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

4,395

Paper
Code

Revisiting Semi-Supervised Learning with Graph Embeddings

29 Mar 2016 • tkipf/gcn •

We present a semi-supervised learning framework based on graph embeddings.

#3 best model for Node Classification on NELL

DOCUMENT CLASSIFICATION ENTITY EXTRACTION NODE CLASSIFICATION

4,395

Paper
Code

DeepWalk: Online Learning of Social Representations

26 Mar 2014 • phanein/deepwalk

We present DeepWalk, a novel approach for learning latent representations of vertices in a network.

#3 best model for Node Classification on Wikipedia

ANOMALY DETECTION DOCUMENT CLASSIFICATION LANGUAGE MODELLING NODE CLASSIFICATION

1,816

Paper
Code

Inductive Representation Learning on Large Graphs

NeurIPS 2017 • williamleif/GraphSAGE •

Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying protein functions.

#5 best model for Node Classification on Cora Full-supervised

LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING

1,542

Paper
Code

Node Classification Edit

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Subtasks

Heterogeneous Node Classification

Greatest papers with code

Node Classification

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