champaign 发表于 2025-3-28 17:13:26
Borui Cai,Guangyan Huang,Shuiqiao Yang,Yong Xiang,Chi-Hung Chile the state to disengage from and sidestep direct involvement and, at the same time, to institute a method of control that is more efficient and autonomous than administrative edict or political bargaining. Paradoxically, the freedom of choice offered by markets diminishes the self-controls associated with democratic ideals.考古学 发表于 2025-3-28 21:10:32
http://reply.papertrans.cn/103/10216/1021536/1021536_42.pngpatriarch 发表于 2025-3-29 00:08:37
http://reply.papertrans.cn/103/10216/1021536/1021536_43.png弯弯曲曲 发表于 2025-3-29 04:23:27
Manman Wang,Wei Chen,Jiajie Xu,Pengpeng Zhao,Lei Zhao欢乐中国 发表于 2025-3-29 10:32:20
http://reply.papertrans.cn/103/10216/1021536/1021536_45.png温室 发表于 2025-3-29 14:36:17
http://reply.papertrans.cn/103/10216/1021536/1021536_46.pnganarchist 发表于 2025-3-29 19:27:33
A Graph Embedding Based Real-Time Social Event Matching Model for EBSNs Recommendation proposed, which matches users and events on the premise of fully considering user preferences and spatio-temporal characteristics, and recommends suitable events to users in real-time efficiently. We conducted experiments on the Meetup dataset to verify the effectiveness of our method by comparisonconcubine 发表于 2025-3-29 20:01:50
PLSGAN: A Power-Law-modified Sequential Generative Adversarial Network for Graph Generationon of node degree is taken into consideration to modify the learning procedure of GANs. Last, PLSGAN is evaluated on various datasets. Experimental results show that PLSGAN can generate graphs with topological features of observed graphs, exhibit strong generalization properties and outperform statePhonophobia 发表于 2025-3-30 00:29:28
http://reply.papertrans.cn/103/10216/1021536/1021536_49.png眉毛 发表于 2025-3-30 07:06:52
Budgeted Influence Maximization with Tags in Social Networksthe communities of the same network, we propose three methodologies that work based on .. The proposed methodologies have been analyzed for their time and space requirements. We evaluate the methodologies with three datasets, and observe, that these can select seed nodes and influential tags, which