14 citations · 45 across the 11 of their papers we have counts for
11 papers
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
Yubin Xiao, Di Wang, Boyang Li +7
The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem with broad real-world applications. Recently, neural networks have gained popularity in this…
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Yingfang Yuan, Wenjun Wang, Wei Pang
Recently, the study of graph neural network (GNN) has attracted much attention and achieved promising performance in molecular property prediction. Most GNNs for molecular property…
A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications
Abubakr Awad, Wei Pang, David Lusseau +1
In recent years, research on Physarum polycephalum has become more popular after Nakagaki et al. (2000) performed their famous experiment showing that Physarum was able to find the…
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan, Wenjun Wang, Wei Pang
In recent years, graph neural networks (GNNs) have gained increasing attention, as they possess the excellent capability of processing graph-related problems. In practice, hyperpar…
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
Yingfang Yuan, Wenjun Wang, Wei Pang
Graph neural networks (GNNs) have been proposed for a wide range of graph-related learning tasks. In particular, in recent years, an increasing number of GNN systems were applied t…
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan, Wenjun Wang, George M. Coghill +1
Graph representation of structured data can facilitate the extraction of stereoscopic features, and it has demonstrated excellent ability when working with deep learning systems, t…
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures
Kefan Chen, Wei Pang
In this research, we propose ImmuNetNAS, a novel Neural Architecture Search (NAS) approach inspired by the immune network theory. The core of ImmuNetNAS is built on the original im…
Short Text Classification via Term Graph
Wei Pang
Short text classi cation is a method for classifying short sentence with prede ned labels. However, short text is limited in shortness in text length that leads to a challenging pr…
ImmuNeCS: Neural Committee Search by an Artificial Immune System
Luc Frachon, Wei Pang, George M. Coghill
Current Neural Architecture Search techniques can suffer from a few shortcomings, including high computational cost, excessive bias from the search space, conceptual complexity or…
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence
Edvinas Byla, Wei Pang
In this paper we propose DeepSwarm, a novel neural architecture search (NAS) method based on Swarm Intelligence principles. At its core DeepSwarm uses Ant Colony Optimization (ACO)…
e-Distance Weighted Support Vector Regression
Yan Wang, Ge Ou, Wei Pang +2
We propose a novel support vector regression approach called e-Distance Weighted Support Vector Regression (e-DWSVR).e-DWSVR specifically addresses two challenging issues in suppor…