文章分类 -  论文

摘要:Reinforcement Learning Enhanced Explainer for Graph Neural Networks Given an input graph G=(V,E) and its features X , a trained G 阅读全文
posted @ 2024-08-02 20:39 X1OO 阅读(0) 评论(0) 推荐(0) 编辑
摘要:Synthetic dataset 描述: Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets 阅读全文
posted @ 2023-12-08 10:38 X1OO 阅读(3) 评论(0) 推荐(0) 编辑
摘要:Social network datasets. IMDB-B is a movie collaboration dataset of 1000 ego-networks where unlabeled nodes are actors/actresses and there is an edge 阅读全文
posted @ 2023-12-05 19:20 X1OO 阅读(46) 评论(0) 推荐(0) 编辑
摘要:《Hypergraph Convolutional Recurrent Neural Network》 The most significant element of our model is the hypergraph convolution layer applied in each cell 阅读全文
posted @ 2023-11-15 20:07 X1OO 阅读(3) 评论(0) 推荐(0) 编辑
摘要:- Pareto Set Learning for Expensive Multi-Objective Optimization - Effective Diversity in Population Based Reinforcement Learning - A Distributional V 阅读全文
posted @ 2023-09-02 15:30 X1OO 阅读(35) 评论(0) 推荐(0) 编辑
摘要:% In social networks, cascade models the word-of-mouth effect that users adopt certain products, take up some opinions or receive certain information 阅读全文
posted @ 2023-08-31 20:59 X1OO 阅读(9) 评论(0) 推荐(0) 编辑
摘要:- Owing to the NP-hard nature, the cooperative PDP along with other VRP variants is still difficult to be optimally solved by exact methods (Toth and 阅读全文
posted @ 2023-06-06 11:00 X1OO 阅读(5) 评论(0) 推荐(0) 编辑
摘要:Survey A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Learning to Transfer Graph Embeddings for Inductive Graph base 阅读全文
posted @ 2023-05-05 19:13 X1OO 阅读(15) 评论(0) 推荐(0) 编辑
摘要:Survey Algorithmic Fairness on Graphs: Methods and Trends, KDD 2022 Fairness in Networks: Social Capital, Information Access, and Interventions, KDD 2 阅读全文
posted @ 2023-05-05 19:00 X1OO 阅读(420) 评论(0) 推荐(0) 编辑
摘要:Many [领域] problems, including [问题1] and [问题2], can be naturally modeled as the problem of [问题3]. Many machine learning problems, including data summar 阅读全文
posted @ 2023-04-27 13:33 X1OO 阅读(6) 评论(0) 推荐(0) 编辑
摘要:End to end learning and optimization on graphs Our proposed CLUSTERNET system (Figure 1) merges two differentiable components into a system that is tr 阅读全文
posted @ 2023-04-25 09:44 X1OO 阅读(59) 评论(0) 推荐(0) 编辑
摘要:以下内容是关于把一些组合优化问题建模成马尔可夫决策过程的内容,其中MDP的写作细节值得借鉴。 Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing, NeurIPS 2020 Lear 阅读全文
posted @ 2023-04-25 00:23 X1OO 阅读(14) 评论(0) 推荐(0) 编辑
摘要:Combinatorial optimization and RL Combinatorial optimization and reinforcement learning. In recent years, significant work has been invested in solvin 阅读全文
posted @ 2023-04-25 00:19 X1OO 阅读(11) 评论(0) 推荐(0) 编辑
摘要:We resort to reinforcement learning to optimize G 0 in Eq. 2, which can be viewed as a data-driven embodiment of the classic bi-level optimization met 阅读全文
posted @ 2023-04-24 23:54 X1OO 阅读(17) 评论(0) 推荐(0) 编辑
摘要:Graph Embedding Inf2vec: Latent Representation Model for Social Influence Embedding, 2018, ICDE A Comprehensive Survey of Graph Embedding: Problems, T 阅读全文
posted @ 2023-04-16 19:07 X1OO 阅读(18) 评论(0) 推荐(0) 编辑

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