Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

25 March 2020

Papers citing "Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers"

24 / 24 papers shown

Title
Normalized Matching Transformer Abtin Pourhadi Paul Swoboda ViT 42 0 0 22 Mar 2025
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 32 16 0 18 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 49 1 0 08 Jul 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 32 0 0 04 Jun 2024
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 28 55 0 25 Jul 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 29 3 0 18 Jul 2023
Jigsaw: Learning to Assemble Multiple Fractured Objects Jiaxin Lu Yifan Sun Qi-Xing Huang 26 17 0 29 May 2023
Universe Points Representation Learning for Partial Multi-Graph Matching Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard 39 5 0 01 Dec 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 27 4 0 20 Oct 2022
Learning Universe Model for Partial Matching Networks over Multiple Graphs Zetian Jiang Jiaxin Lu Tianzhe Wang Junchi Yan 24 2 0 19 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 45 24 0 04 Oct 2022
Densely Constrained Depth Estimator for Monocular 3D Object Detection Yingyan Li Yun-Chun Chen Jiawei He Zhaoxiang Zhang 3DPC MDE 29 32 0 20 Jul 2022
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching LIREN YU Jiaming Xu Xiaojun Lin 24 2 0 26 May 2022
Efficient Linear Attention for Fast and Accurate Keypoint Matching Suwichaya Suwanwimolkul S. Komorita 3DPC 3DV 19 11 0 16 Apr 2022
Deep Probabilistic Graph Matching He Liu Tao Wang Yidong Li Congyan Lang Songhe Feng Haibin Ling 18 2 0 05 Jan 2022
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations Maximilian Krahn Florian Bernard Vladislav Golyanik 13 1 0 21 Oct 2021
Joint Graph Learning and Matching for Semantic Feature Correspondence He Liu Tao Wang Yidong Li Congyan Lang Yi Jin Haibin Ling 30 20 0 01 Sep 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 27 15 0 04 Jun 2021
Convolutional Hough Matching Networks Juhong Min Minsu Cho 15 65 0 31 Mar 2021
Deep Graph Matching under Quadratic Constraint Quankai Gao Fudong Wang Nan Xue Jin-Gang Yu Guisong Xia 24 37 0 11 Mar 2021
Fusion Moves for Graph Matching Lisa Hutschenreiter Stefan Haller Lorenz Feineis Carsten Rother Dagmar Kainmüller Bogdan Savchynskyy 24 15 0 28 Jan 2021
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 105 0 20 Feb 2020