文章分类 - 论文
摘要:Reinforcement Learning Enhanced Explainer for Graph Neural Networks Given an input graph and its features , a trained G
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摘要:Synthetic dataset 描述: Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
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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
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摘要:《Hypergraph Convolutional Recurrent Neural Network》 The most significant element of our model is the hypergraph convolution layer applied in each cell
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摘要:- Pareto Set Learning for Expensive Multi-Objective Optimization - Effective Diversity in Population Based Reinforcement Learning - A Distributional V
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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
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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
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摘要:Survey A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Learning to Transfer Graph Embeddings for Inductive Graph base
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摘要:Survey Algorithmic Fairness on Graphs: Methods and Trends, KDD 2022 Fairness in Networks: Social Capital, Information Access, and Interventions, KDD 2
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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
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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
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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
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摘要:Combinatorial optimization and RL Combinatorial optimization and reinforcement learning. In recent years, significant work has been invested in solvin
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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
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摘要:Graph Embedding Inf2vec: Latent Representation Model for Social Influence Embedding, 2018, ICDE A Comprehensive Survey of Graph Embedding: Problems, T
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