CommunityGAN: Community Detection with Generative Adversarial Nets

20 Jan 2019Yuting JiaQinqin ZhangWeinan ZhangXinbing Wang

Community detection refers to the task of discovering groups of vertices sharing similar properties or functions so as to understand the network data. With the recent development of deep learning, graph representation learning techniques are also utilized for community detection... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Community Detection Amazon CommunityGAN F1-score 0.091 # 1
Clique Prediction arXiv-AstroPh 2-clique CommunityGAN AUC 92.3 # 1
Clique Prediction arXiv-AstroPh 3-clique CommunityGAN AUC 99 # 1
Clique Prediction arXiv-AstroPh 4-clique CommunityGAN AUC 97 # 1
Clique Prediction arXiv-GrQc 2-clique CommunityGAN AUC 90.4 # 1
Clique Prediction arXiv-GrQc 3-clique CommunityGAN AUC 99.3 # 1
Clique Prediction arXiv-GrQc 4-clique CommunityGAN AUC 95.6 # 1
Community Detection DBLP CommunityGAN F1-Score 0.153 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet