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Graph Clustering

15 papers with code · Graphs

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Residual Gated Graph ConvNets

ICLR 2018 xbresson/spatial_graph_convnets

In this paper, we are interested to design neural networks for graphs with variable length in order to solve learning problems such as vertex classification, graph classification, graph regression, and graph generative tasks.

GRAPH CLASSIFICATION GRAPH CLUSTERING

Adversarially Regularized Graph Autoencoder for Graph Embedding

13 Feb 2018Ruiqi-Hu/ARGA

Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics.

GRAPH CLUSTERING GRAPH EMBEDDING LINK PREDICTION

Learning Networks from Random Walk-Based Node Similarities

23 Jan 2018cnmusco/graph-similarity-learning

In this work we consider a privacy threat to a social network in which an attacker has access to a subset of random walk-based node similarities, such as effective resistances (i. e., commute times) or personalized PageRank scores.

ANOMALY DETECTION GRAPH CLUSTERING GRAPH SIMILARITY

Affinity Clustering: Hierarchical Clustering at Scale

NeurIPS 2017 MahsaDerakhshan/AffinityClustering

In particular, we propose affinity, a novel hierarchical clustering based on Boruvka's MST algorithm.

GRAPH CLUSTERING

A Streaming Algorithm for Graph Clustering

9 Dec 2017ahollocou/graph-streaming

We introduce a novel algorithm to perform graph clustering in the edge streaming setting.

GRAPH CLUSTERING

Hierarchical Graph Clustering using Node Pair Sampling

5 Jun 2018tbonald/paris

We present a novel hierarchical graph clustering algorithm inspired by modularity-based clustering techniques.

GRAPH CLUSTERING

Unsupervised Network Embedding for Graph Visualization, Clustering and Classification

25 Feb 2019leoguti85/GraphEmbs

In this work we provide an unsupervised approach to learn embedding representation for a collection of graphs so that it can be used in numerous graph mining tasks.

GRAPH CLUSTERING NETWORK EMBEDDING

Spectral Theory of Unsigned and Signed Graphs. Applications to Graph Clustering: a Survey

18 Jan 2016jsedoc/SignedSpectralClustering

This is a survey of the method of graph cuts and its applications to graph clustering of weighted unsigned and signed graphs.

GRAPH CLUSTERING

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering

5 Apr 2019youngser/dhatkhat

Heuristic algorithms via the simultaneous model selection framework for vertex clustering are proposed, with good performance shown in the experiment on synthetic data and on the real application of connectome analysis.

GRAPH CLUSTERING SPECTRAL GRAPH CLUSTERING

Learning Resolution Parameters for Graph Clustering

12 Mar 2019nveldt/LearnResParams

We begin by formalizing the notion of a parameter fitness function, which measures how well a fixed input clustering approximately solves a generalized clustering objective for a specific resolution parameter value.

GRAPH CLUSTERING