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Graph Classification

14 papers with code · Graphs

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Graph Classification with Recurrent Variational Neural Networks

7 Feb 2019Edouard Pineau et al

Most standard methods require either the pairwise comparisons of all graphs in the dataset or the extraction of ad-hoc features to perform classification.

GRAPH CLASSIFICATION

07 Feb 2019

Graph Neural Networks with convolutional ARMA filters

5 Jan 2019Filippo Maria Bianchi et al

Recent graph neural networks implement convolutional layers based on polynomial filters operating in the spectral domain.

GRAPH CLASSIFICATION NODE CLASSIFICATION

05 Jan 2019

Deep Program Reidentification: A Graph Neural Network Solution

10 Dec 2018Shen Wang et al

Program or process is an integral part of almost every IT/OT system.

GRAPH CLASSIFICATION GRAPH EMBEDDING INTRUSION DETECTION

10 Dec 2018

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation

4 Dec 2018Binghui Wang et al

To address the computational challenge, we propose to jointly learn the edge weights and propagate the reputation scores, which is essentially an approximate solution to the optimization problem.

GRAPH CLASSIFICATION

04 Dec 2018

Bayesian graph convolutional neural networks for semi-supervised classification

27 Nov 2018Yingxue Zhang et al

Graph convolutional neural networks (GCNNs) have been used to address node and graph classification and matrix completion.

GRAPH CLASSIFICATION MATRIX COMPLETION

27 Nov 2018

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules

23 Nov 2018Boris Knyazev et al

Spectral Graph Convolutional Networks (GCNs) are a generalization of convolutional networks to learning on graph-structured data.

GRAPH CLASSIFICATION NODE CLASSIFICATION

23 Nov 2018

Gaussian-Induced Convolution for Graphs

11 Nov 2018Jiatao Jiang et al

In this work, we propose a Gaussian-induced convolution (GIC) framework to conduct local convolution filtering on irregular graphs.

GRAPH CLASSIFICATION LEARNING REPRESENTATION ON GRAPH

11 Nov 2018

A simple yet effective baseline for non-attribute graph classification

8 Nov 2018Chen Cai et al

We test our baseline representation for the graph classification task on a range of graph datasets.

GRAPH CLASSIFICATION LINK PREDICTION REPRESENTATION LEARNING

08 Nov 2018

Towards Sparse Hierarchical Graph Classifiers

3 Nov 2018Cătălina Cangea et al

Recent advances in representation learning on graphs, mainly leveraging graph convolutional networks, have brought a substantial improvement on many graph-based benchmark tasks.

GRAPH CLASSIFICATION LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING

03 Nov 2018

Streaming Graph Neural Networks

24 Oct 2018Yao Ma et al

Current graph neural network models cannot utilize the dynamic information in dynamic graphs.

COMMUNITY DETECTION GRAPH CLASSIFICATION LINK PREDICTION NODE CLASSIFICATION

24 Oct 2018