{"total":35,"rows":[{"id":"2102.09544","title":"Combinatorial optimization and reasoning with graph neural networks","created":"2021-02-18","cited_by_count":268,"area":null},{"id":"2210.04123","title":"DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems","created":"2022-10-08","cited_by_count":129,"area":null},{"id":"2205.13209","title":"Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization","created":"2022-05-26","cited_by_count":119,"area":null},{"id":"2301.03313","title":"BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization","created":"2023-01-09","cited_by_count":82,"area":null},{"id":"2310.18264","title":"Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt","created":"2023-10-27","cited_by_count":81,"area":null},{"id":"2306.17100","title":"RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark","created":"2023-06-29","cited_by_count":71,"area":null},{"id":"2203.15386","title":"Pareto Set Learning for Neural Multi-objective Combinatorial Optimization","created":"2022-03-29","cited_by_count":56,"area":null},{"id":"2305.17010","title":"Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets","created":"2023-05-26","cited_by_count":40,"area":null},{"id":"2209.12288","title":"On Representing Linear Programs by Graph Neural Networks","created":"2022-09-25","cited_by_count":39,"area":null},{"id":"2206.07922","title":"Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications","created":"2022-06-16","cited_by_count":30,"area":null},{"id":"2406.00415","title":"Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives","created":"2024-06-01","cited_by_count":23,"area":null},{"id":"2107.07076","title":"An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem","created":"2021-07-15","cited_by_count":22,"area":null},{"id":"2210.08864","title":"Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks","created":"2022-10-17","cited_by_count":17,"area":null},{"id":"2205.02453","title":"Learning to Solve Vehicle Routing Problems: A Survey","created":"2022-05-05","cited_by_count":16,"area":null},{"id":"2205.14105","title":"Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration","created":"2022-05-27","cited_by_count":14,"area":null},{"id":"2105.02730","title":"Solve routing problems with a residual edge-graph attention neural network","created":"2021-05-06","cited_by_count":13,"area":null},{"id":"2106.03594","title":"Learning Combinatorial Node Labeling Algorithms","created":"2021-06-07","cited_by_count":10,"area":null},{"id":"2104.03546","title":"Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks","created":"2021-04-08","cited_by_count":8,"area":null},{"id":"2201.04895","title":"Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning","created":"2022-01-13","cited_by_count":5,"area":null},{"id":"2510.22031","title":"Differentiable Constraint-Based Causal Discovery","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2108.01036","title":"Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search","created":"2021-08-02","cited_by_count":3,"area":null},{"id":"2202.05423","title":"Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization","created":"2022-02-11","cited_by_count":2,"area":null},{"id":"2206.06618","title":"Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT","created":"2022-06-14","cited_by_count":2,"area":null},{"id":"2302.13240","title":"Q-Cogni: An Integrated Causal Reinforcement Learning Framework","created":"2023-02-26","cited_by_count":2,"area":null},{"id":"2306.11915","title":"Structure-Aware Robustness Certificates for Graph Classification","created":"2023-06-20","cited_by_count":2,"area":null},{"id":"2107.03015","title":"Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research","created":"2021-07-07","cited_by_count":1,"area":null},{"id":"2203.15030","title":"Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks","created":"2022-03-28","cited_by_count":1,"area":null},{"id":"2210.12453","title":"NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems","created":"2022-10-22","cited_by_count":1,"area":null},{"id":"2308.13978","title":"A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning","created":"2023-08-27","cited_by_count":1,"area":null},{"id":"2412.09056","title":"A Context-Enhanced Framework for Sequential Graph Reasoning","created":"2024-12-12","cited_by_count":1,"area":null},{"id":"2311.16277","title":"A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning","created":"2023-11-27","cited_by_count":0,"area":null},{"id":"2505.23131","title":"DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2605.08758","title":"Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.19119","title":"GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.22693","title":"Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":null}