A collection of research on deep learning for community detection (references continually updated)

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs (WWW 2021)

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism (WWW 2021)

[IEEE Transactions on Cybernetics] Brain EEG Time Series Clustering Using Maximum Weight Clique

Unsupervised Feature Learning from Time Series (IJCAI 2016)

[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation

Code implementation of the paper: AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks, which has been submitted to ICDM 2020 for blind review.

[NIPS 2020] Graph Geometry Interaction Learning

[NIPS 2020] Graph Stochastic Neural Networks for Semi-supervised Learning

[ICDM 2020] Exploratory Adversarial Attacks on Graph Neural Networks

Deep Structure Learning for Fraud Detection (ICDM 2018)

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation [TKDE 2021]

Deep Spatial-Temporal Structure Learning for Rumor Detection on Twitter, Neural Computing and Applications, 2020

[ICDM 2020] Deep Semantic Network Representation

Link Prediction with Signed Latent Factors in Signed Social Networks (KDD 2019)

CoTrRank: Trust Evaluation of Users and Tweets (IJCAI 2019 DEMO)

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction (ICDM 2019)

FraudNE: a Joint Embedding Approach for Fraud Detection (IJCNN 2018)

Noise-Resilient Similarity Preserving Network Embedding for Social Networks (IJCAI 2019)

Temporal Network Embedding with High-Order Nonlinear Information (AAAI 2020)

Detecting the Evolving Community Structure in Dynamic Social Networks (WWWJ 2020)