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Found 4 papers, 2 papers with code
Layered Neighborhood Expansion for Incremental Multiple Graph Matching
In this paper, we treat the graphs as graphs on a super-graph, and propose a novel breadth first search based method for expanding the neighborhood on the super-graph for a new coming graph, such that the matching with the new graph can be efficiently performed within the constructed neighborhood.
Pretraining in Deep Reinforcement Learning: A Survey
The past few years have seen rapid progress in combining reinforcement learning (RL) with deep learning.
Comparison-based Conversational Recommender System with Relative Bandit Feedback
To enable users to provide comparative preferences during conversational interactions, we propose a novel comparison-based conversational recommender system.
Practical Constrained Optimization of Auction Mechanisms in E-Commerce Sponsored Search Advertising
Sponsored search in E-commerce platforms such as Amazon, Taobao and Tmall provides sellers an effective way to reach potential buyers with most relevant purpose.
