Exclaim 发表于 2025-3-23 11:29:43
Kinematic-Based Force-Directed Graph Embedding,ow-dimensional space, graph embedding enables efficient graph processing and analysis tasks like node classification, link prediction, and visualization. In this paper, we propose and provide proof of convergence for a novel graph embedding paradigm where nodes are assumed to possess mass and a kinepulse-pressure 发表于 2025-3-23 16:51:06
,Deep Graph Machine Learning Models for Epidemic Spread Prediction and Prevention,ption of the appropriate safety measures and actions should also take into account other societal challenges, such as the impact on the local economy or the psychological strain on its inhabitants. Recent approaches for preventing an epidemic spread have led to the adoption of rather aggressive straTERRA 发表于 2025-3-23 21:00:48
http://reply.papertrans.cn/24/2316/231503/231503_13.png含铁 发表于 2025-3-24 00:01:09
http://reply.papertrans.cn/24/2316/231503/231503_14.pngviolate 发表于 2025-3-24 03:03:10
,Edge Dismantling with Geometric Reinforcement Learning,maximize damage, is a known NP-hard problem. While heuristics for node removal exist, edge network dismantling, especially in real-world scenarios like power grids or transportation networks, remains underexplored. This paper introduces eGDM-RL, a novel framework for edge dismantling based on Geomet–吃 发表于 2025-3-24 07:58:12
,Public Transit Inequality in the Context of the Built Environment,planners, alike, have stressed the importance of improving transit service for all. This entails ensuring that vulnerable demographics are not neglected as urban planning shifts towards more sustainable modes. Research in transport justice reveals the concentration of economically vulnerable individ闹剧 发表于 2025-3-24 13:59:30
Conference proceedings 2024 or perhaps the reason is that it finds the perfect balance between young and senior participation, a balance in the demographics of the presenters, or perhaps it is just the quality of the work presented. .受人支配 发表于 2025-3-24 18:23:05
Theoretical and Experimental Principles,ing important entities, we evaluate the impact of relation extraction errors on the identification of central nodes in several real and synthetic networks. The impact of these errors varies significantly by graph topology, suggesting that confidence in measurements based on automatically extracted r运气 发表于 2025-3-24 21:56:07
http://reply.papertrans.cn/24/2316/231503/231503_19.pngLAVE 发表于 2025-3-25 01:07:08
Theoretical and Experimental Principles,ted to semiconductors and minerals relevant to energy storage, namely lithium and graphite, both relevant sectors for the energy transition, and, employing our novel approach, we uncover recent trends in these markets.