eg:很多著名COPs如旅行推销员TSP问题和车辆路线VRP问题都具有图结构;此外,约束优化问题中变量与约束之间的相互作用自然会产生二部图,此时用二部图神经网络也许能比较好地挖掘变量间约束的结构和特征。 1.1 What are thechallengesfor ML? 1)在很多图问题中,图没有唯一的表示,即,重命名或重排序节点不会产生不同的...
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paper Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luis Lamb, Moshe Vardi. DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019. paper Yue Yu, Jie Chen, Tian Ga...
Alex Nowak, Soledad Villar, Afonso S. Bandeira, Joan Bruna. Attention Solves Your TSP, Approximately. 2018. paper Wouter Kool, Herke van Hoof, Max Welling. Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paper Marcelo O. R. Prates, Pedro H. ...
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paper Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luis Lamb, Moshe Vardi. DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019. paper Yue Yu, Jie Chen, Tian Ga...
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paper Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luis Lamb, Moshe Vardi. DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019. paper Yue Yu, Jie Chen, Tian Ga...
Attention Solves Your TSP, Approximately. 2018. paperWouter Kool, Herke van Hoof, Max Welling. Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paperMarcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luis Lamb, Moshe Vardi. DAG-GNN: ...
LIMIP: Lifelong Learning to solve Mixed Integer Programs Self-Supervised Bidirectional Learning for Graph Matching Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Cross-domain Few-shot Graph Classification with a Reinforced Task Coordinator ...
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP. AAAI 2019. paper Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luis Lamb, Moshe Vardi. DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019. paper Yue Yu, Jie Chen, Tian Ga...
Talk 6 Learning to Solve the Traveling Salesman Problem Date : 20 Dec 2021, 4:30-5:30 pm Abstract : The Traveling Salesman Problem (TSP) is the most popular and most studied combinatorial problem, starting with von Neumann in 1951. It has driven the discovery of several optimization techniqu...
(TSP) and train a recurrent neural network that, given a set a of city coordinates, predicts a distribution over different city permutations. Using J negative tour length as the reward signal, we optimize the parameters of the re- 2 current neural network using a policy gradient method. We ...