International Conference on Conceptual Structures最新文献

Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods 用标准蒙特卡洛和准蒙特卡洛方法调整萤火虫算法参数

International Conference on Conceptual Structures Pub Date : 2024-07-01 DOI: 10.1007/978-3-031-63775-9_17

Geethu Joy, Christian Huyck, Xin-She Yang

引用次数: 0

Streaming Detection of Significant Delay Changes in Public Transport Systems 公共交通系统重大延误变化的流式检测

International Conference on Conceptual Structures Pub Date : 2024-04-11 DOI: 10.1007/978-3-031-08760-8_41

Przemyslaw Wrona, M. Grzenda, Marcin Luckner

引用次数: 0

Graph Extraction for Assisting Crash Simulation Data Analysis 辅助碰撞模拟数据分析的图提取

International Conference on Conceptual Structures Pub Date : 2023-06-15 DOI: 10.48550/arXiv.2306.09538

Anahita Pakiman, J. Garcke, A. Schumacher

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引用次数: 0

Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations 高性能多尺度等离子体物理模拟中的认知和任意不确定性量化和替代模型

International Conference on Conceptual Structures Pub Date : 2023-06-13 DOI: 10.1007/978-3-031-36027-5_45

Ye. V. Yudin, David Coster, U. Toussaint, F. Jenko

引用次数: 1

Automating the Analysis of Institutional Design in International Agreements 国际协定中制度设计的自动化分析

International Conference on Conceptual Structures Pub Date : 2023-05-26 DOI: 10.48550/arXiv.2305.16750

Anna Wr'oblewska, Bartosz Pieli'nski, Karolina Seweryn, Sylwia Sysko-Roma'nczuk, Karol Saputa, Aleksandra Wichrowska, Hanna Schreiber

引用次数: 0

Strengthening structural baselines for graph classification using Local Topological Profile 利用局部拓扑轮廓增强图分类的结构基线

International Conference on Conceptual Structures Pub Date : 2023-05-01 DOI: 10.48550/arXiv.2305.00724

J. Adamczyk, W. Czech

{"title":"Strengthening structural baselines for graph classification using Local Topological Profile","authors":"J. Adamczyk, W. Czech","doi":"10.48550/arXiv.2305.00724","DOIUrl":"https://doi.org/10.48550/arXiv.2305.00724","url":null,"abstract":"We present the analysis of the topological graph descriptor Local Degree Profile (LDP), which forms a widely used structural baseline for graph classification. Our study focuses on model evaluation in the context of the recently developed fair evaluation framework, which defines rigorous routines for model selection and evaluation for graph classification, ensuring reproducibility and comparability of the results. Based on the obtained insights, we propose a new baseline algorithm called Local Topological Profile (LTP), which extends LDP by using additional centrality measures and local vertex descriptors. The new approach provides the results outperforming or very close to the latest GNNs for all datasets used. Specifically, state-of-the-art results were obtained for 4 out of 9 benchmark datasets. We also consider computational aspects of LDP-based feature extraction and model construction to propose practical improvements affecting execution speed and scalability. This allows for handling modern, large datasets and extends the portfolio of benchmarks used in graph representation learning. As the outcome of our work, we obtained LTP as a simple to understand, fast and scalable, still robust baseline, capable of outcompeting modern graph classification models such as Graph Isomorphism Network (GIN). We provide open-source implementation at href{https://github.com/j-adamczyk/LTP}{GitHub}.","PeriodicalId":125954,"journal":{"name":"International Conference on Conceptual Structures","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation 使用马尔可夫蒙特卡罗模拟估计COVID-19大流行封锁对波兰乳腺癌死亡和成本的影响

International Conference on Conceptual Structures Pub Date : 2023-04-27 DOI: 10.1007/978-3-031-36024-4_10

M. Dul, Michal K. Grzeszczyk, E. Nojszewska, A. Sitek

引用次数: 0

Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow 遗传算法在均匀流量网络负载均衡中的应用

International Conference on Conceptual Structures Pub Date : 2023-04-18 DOI: 10.1007/978-3-031-36021-3_32

M. Bolanowski, Alicja Gerka, A. Paszkiewicz, M. Ganzha, M. Paprzycki

引用次数: 0

From Online Behaviours to Images: A Novel Approach to Social Bot Detection 从在线行为到图像:一种新的社交机器人检测方法

International Conference on Conceptual Structures Pub Date : 2023-04-15 DOI: 10.48550/arXiv.2304.07535

Edoardo Di Paolo, M. Petrocchi, A. Spognardi

引用次数: 2

r-softmax: Generalized Softmax with Controllable Sparsity Rate r-softmax:具有可控稀疏率的广义Softmax

International Conference on Conceptual Structures Pub Date : 2023-04-11 DOI: 10.48550/arXiv.2304.05243

Klaudia Bałazy, Lukasz Struski, Marek Śmieja, J. Tabor

引用次数: 1