Community Detection
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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
• SeongokRyu/Graph-neural-networks
• 
The rise of graph-structured data such as social networks, regulatory networks, citation graphs, and functional brain networks, in combination with resounding success of deep learning in various applications, has brought the interest in generalizing deep learning models to non-Euclidean domains.
COMMUNITY DETECTION IMAGE CLASSIFICATION MATRIX COMPLETION NODE CLASSIFICATION
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection
CIKM 2018 • benedekrozemberczki/DANMF
Considering the complicated and diversified topology structures of real-world networks, it is highly possible that the mapping between the original network and the community membership space contains rather complex hierarchical information, which cannot be interpreted by classic shallow NMF-based approaches.
LOCAL COMMUNITY DETECTION NETWORK COMMUNITY PARTITION NODE CLASSIFICATION REPRESENTATION LEARNING
Signed Graph Convolutional Network
ICDM 2018
• benedekrozemberczki/SGCN
• 
However, since previous GCN models have primarily focused on unsigned networks (or graphs consisting of only positive links), it is unclear how they could be applied to signed networks due to the challenges presented by negative links.
COMMUNITY DETECTION LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
NeurIPS 2017
• ntumslab/PRUNE
•
We investigate an unsupervised generative approach for network embedding.
COMMUNITY DETECTION LEARNING-TO-RANK LINK PREDICTION NETWORK EMBEDDING
Font Size: Community Preserving Network Embedding
AAAI 2017
• benedekrozemberczki/M-NMF
•
While previous network embedding methods primarily preserve the microscopic structure, such as the first- and second-order proximities of nodes, the mesoscopic community structure, which is one of the most prominent feature of networks, is largely ignored.
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization
NMF is a useful tool for many applications in different domains such as topic modeling in text mining, background separation in video analysis, and community detection in social networks.
SINE: Scalable Incomplete Network Embedding
ICDM 2018
• benedekrozemberczki/sine
• 
Attributed network embedding aims to learn low-dimensional vector representations for nodes in a network, where each node contains rich attributes/features describing node content.
COMMUNITY DETECTION LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION
Evaluating Overfit and Underfit in Models of Network Community Structure
These results introduce both a theoretically principled approach to evaluate over and underfitting in models of network community structure and a realistic benchmark by which new methods may be evaluated and compared.
CommunityGAN: Community Detection with Generative Adversarial Nets
In this paper, we propose CommunityGAN, a novel community detection framework that jointly solves overlapping community detection and graph representation learning.
Time Series Clustering via Community Detection in Networks
• lnferreira/time_series_clustering_via_community_detection
In this paper, we propose a technique for time series clustering using community detection in complex networks.