14 citations · 29 across the 4 of their papers we have counts for
4 papers
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
Tianyu Zhang, Chengbin Hou, Rui Jiang +4
Node Importance Estimation (NIE) is a task of inferring importance scores of the nodes in a graph. Due to the availability of richer data and knowledge, recent research interests o…
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li, Jianye Hao, Hongyao Tang +3
Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs) and Reinforcement Learning (RL) for optimization, has demonstrated remarkable performance…
Fast Multi-grid Methods for Minimizing Curvature Energy
Zhenwei Zhang, Ke Chen, Ke Tang +1
The geometric high-order regularization methods such as mean curvature and Gaussian curvature, have been intensively studied during the last decades due to their abilities in prese…
On the Robustness of Median Sampling in Noisy Evolutionary Optimization
Chao Bian, Chao Qian, Yang Yu +1
Evolutionary algorithms (EAs) are a sort of nature-inspired metaheuristics, which have wide applications in various practical optimization problems. In these problems, objective ev…