graph partitioning

A Little Charity Guarantees Fair Connected Graph Partitioning AAAI 2022 Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization CVPR 2022 Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks JMLR 2022 Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering ICML 2022 Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022 Sublinear-Time Clustering Oracle for Signed Graphs ICML 2022 Generalized Spectral Clustering via Gromov-Wasserstein Learning AISTATS 2021 Group Testing on a Network AAAI 2021 Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering NeurIPS 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem Interspeech 2021 xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem NAACL 2021 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Learning Space Partitions for Nearest Neighbor Search ICLR 2020 Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020 Biologically-Constrained Graphs for Global Connectomics Reconstruction CVPR 2019 Correlation clustering with local objectives NeurIPS 2019 Robust Motion Segmentation From Pairwise Matches ICCV 2019 Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NeurIPS 2019 Compassionately Conservative Balanced Cuts for Image Segmentation CVPR 2018 Mean-field theory of graph neural networks in graph partitioning NeurIPS 2018 Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks PGM 2018 A Partitioning Algorithm for Maximum Common Subgraph Problems IJCAI 2017 Inhomogeneous Hypergraph Clustering with Applications NeurIPS 2017