graph clustering

Semi-supervised Clustering via Pairwise Constrained Optimal Graph IJCAI 2020 Spectral Embedding of Regularized Block Models ICLR 2020 Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NeurIPS 2020 Attributed Graph Clustering: A Deep Attentional Embedding Approach IJCAI 2019 Attributed Graph Clustering via Adaptive Graph Convolution IJCAI 2019 Communication-Optimal Distributed Dynamic Graph Clustering AAAI 2019 Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion IJCAI 2019 Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm ICML 2019 End to end learning and optimization on graphs NeurIPS 2019 Exact Clustering of Weighted Graphs via Semidefinite Programming JMLR 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019 K-Best Transformation Synchronization ICCV 2019 L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations SemEval 2019 Modularity-based Sparse Soft Graph Clustering AISTATS 2019 Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019 Scaling Fine-grained Modularity Clustering for Massive Graphs IJCAI 2019 Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering IJCAI 2019 Variational Graph Embedding and Clustering with Laplacian Eigenmaps IJCAI 2019 Zero Resource Speech Synthesis Using Transcripts Derived from Perceptual Acoustic Units Interspeech 2019 Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018 Bipartite Stochastic Block Models with Tiny Clusters NeurIPS 2018 Clustering Uncertain Graphs with Node Attributes ACML 2018 Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 Contextual Stochastic Block Models NeurIPS 2018 Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018