Browse > Graphs > Node Classification

Node Classification

98 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.

State-of-the-art leaderboards

Trend Dataset Best Method Paper title Paper Code Compare

Latest papers with code

DeepGCNs: Making GCNs Go as Deep as CNNs

15 Oct 2019lightaime/deep_gcns

We believe that the insights in this work will open a lot of avenues for future research on GCNs and transfer to further tasks not explored in this work.

NODE CLASSIFICATION OBJECT CLASSIFICATION SEMANTIC SEGMENTATION

396
15 Oct 2019

Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs

7 Oct 2019Josh-Payne/deep-hyperedges

From social networks to protein complexes to disease genomes to visual data, hypergraphs are everywhere.

HYPEREDGE CLASSIFICATION NODE CLASSIFICATION

1
07 Oct 2019

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

25 Sep 2019vikasverma1077/GraphMix

We present GraphMix, a regularization technique for Graph Neural Network based semi-supervised object classification, leveraging the recent advances in the regularization of classical deep neural networks.

GRAPH NEURAL NETWORK NODE CLASSIFICATION OBJECT CLASSIFICATION

10
25 Sep 2019

GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation

12 Sep 2019anonymous-sourcecode/GResNet

Analysis about the causes of the suspended animation problem with existing GNNs will be provided in this paper, whereas several other peripheral factors that will impact the problem will be reported as well.

#2 best model for Node Classification on Cora (using extra training data)

GRAPH NEURAL NETWORK NODE CLASSIFICATION

3
12 Sep 2019

Kernel Node Embeddings

8 Sep 2019abdcelikkanat/kernelNE

Learning representations of nodes in a low dimensional space is a crucial task with many interesting applications in network analysis, including link prediction and node classification.

LINK PREDICTION NODE CLASSIFICATION

1
08 Sep 2019

Graph Representation Ensemble Learning

6 Sep 2019dihuang0220/GraphEnsembleLearning

In this work, we introduce the problem of graph representation ensemble learning and provide a first of its kind framework to aggregate multiple graph embedding methods efficiently.

GRAPH EMBEDDING NODE CLASSIFICATION

7
06 Sep 2019

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

3 Sep 2019dmlc/dgl

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

#10 best model for Node Classification on Cora (using extra training data)

NODE CLASSIFICATION

3,060
03 Sep 2019

Adversarial Training Methods for Network Embedding

30 Aug 2019wonniu/AdvT4NE_WWW2019

Most of existing works aim to preserve different network structures and properties in low-dimensional embedding vectors, while neglecting the existence of noisy information in many real-world networks and the overfitting issue in the embedding learning process.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

7
30 Aug 2019

GEMSEC: Graph Embedding with Self Clustering

ASONAM 2019 benedekrozemberczki/GEMSEC

In this paper we propose GEMSEC - a graph embedding algorithm which learns a clustering of the nodes simultaneously with the embedding.

COMMUNITY DETECTION GRAPH EMBEDDING NETWORK EMBEDDING NODE CLASSIFICATION

116
27 Aug 2019

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection

KDD 2019 benedekrozemberczki/EdMot

Based on the new edge set, the original connectivity structure of the input network is enhanced to generate a rewired network, whereby the motif-based higher-order structure is leveraged and the hypergraph fragmentation issue is well addressed.

COMMUNITY DETECTION NODE CLASSIFICATION

56
04 Aug 2019