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Node Classification

86 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.

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Latest papers without code

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data

15 Aug 2019

We demonstrate that the higher-order network embedding (HONEM) method is able to extract higher-order dependencies from HON to construct the higher-order neighborhood matrix of the network, while existing methods are not able to capture these higher-order dependencies.

FEATURE ENGINEERING LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks

14 Aug 2019

We study the problem of end-to-end learning from complex multigraphs with potentially very large numbers of edges between two vertices, each edge labeled with rich information.

NODE CLASSIFICATION

Deep Hashing for Signed Social Network Embedding

12 Aug 2019

Network embedding is a promising way of network representation, facilitating many signed social network processing and analysis tasks such as link prediction and node classification.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

The Truly Deep Graph Convolutional Networks for Node Classification

25 Jul 2019

More importantly, DropEdge enables us to recast a wider range of Convolutional Neural Networks (CNNs) from the image field to the graph domain; in particular, we study DenseNet and InceptionNet in this paper.

NODE CLASSIFICATION

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks

24 Jul 2019

This paper proposes a method to guide tensor factorization, using class labels.

NODE CLASSIFICATION

Node Attribute Generation on Graphs

23 Jul 2019

NANG learns a unifying latent representation which is shared by both node attributes and graph structures and can be translated to different modalities.

DATA AUGMENTATION LINK PREDICTION NODE CLASSIFICATION

Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling

20 Jul 2019

Network embedding techniques inspired by word2vec represent an effective unsupervised relational learning model.

GRAPH EMBEDDING NETWORK EMBEDDING NODE CLASSIFICATION RELATIONAL REASONING

Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics

19 Jul 2019

Representation learning methods that transform encoded data (e. g., diagnosis and drug codes) into continuous vector spaces (i. e., vector embeddings) are critical for the application of deep learning in healthcare.

LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING

k-hop Graph Neural Networks

13 Jul 2019

We show that the proposed architecture can identify fundamental graph properties.

GRAPH CLASSIFICATION NODE CLASSIFICATION

Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification

12 Jul 2019

The dimension of the label vector is the same as that of the node vector before the last convolution operation of GCN.

GRAPH CLASSIFICATION GRAPH EMBEDDING MULTI-LABEL CLASSIFICATION MULTI-LABEL LEARNING NODE CLASSIFICATION