deliberate
发表于 2025-3-21 17:09:22
书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0233947<br><br> <br><br>书目名称Computer Supported Cooperative Work and Social Computing读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0233947<br><br> <br><br>
镇痛剂
发表于 2025-3-21 20:55:58
HGNN-T5 PEGASUS: A Hybrid Approach for Chinese Long Text Summarizations introduced to T5 PEGASUS to avoid overfitting. To demonstrate the effectiveness of our model, we constructed the SCHOLAT text summarization dataset. The results of our experiments show that the proposed model outperforms other baseline models on both the NLPCC 2018 and SCHOLAT datasets.
profligate
发表于 2025-3-22 03:33:25
http://reply.papertrans.cn/24/2340/233947/233947_3.png
concise
发表于 2025-3-22 07:11:30
http://reply.papertrans.cn/24/2340/233947/233947_4.png
祸害隐伏
发表于 2025-3-22 10:19:21
Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encodersted for experiments in this paper. The experimental results show that the model achieves the best performance on both the AUC and AP metrics on the task of measuring scholar similarity, with 98.7% and 98.8%, respectively, relative to other traditional widely used algorithms. In addition, by fusing t
Mets552
发表于 2025-3-22 15:03:26
Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networksy overlapping influence ranges between the highly influential nodes in the seed set. Specifically, our framework first adopts an information diffusion model-based approach to obtain opinion leaders’ tendency evaluation and meanwhile uses variational graph auto-encoders (VGAE) to encode it into low-d
Mets552
发表于 2025-3-22 20:27:01
https://doi.org/10.1007/978-94-6300-010-9s introduced to T5 PEGASUS to avoid overfitting. To demonstrate the effectiveness of our model, we constructed the SCHOLAT text summarization dataset. The results of our experiments show that the proposed model outperforms other baseline models on both the NLPCC 2018 and SCHOLAT datasets.
疯狂
发表于 2025-3-23 01:14:41
http://reply.papertrans.cn/24/2340/233947/233947_8.png
cumulative
发表于 2025-3-23 03:54:58
http://reply.papertrans.cn/24/2340/233947/233947_9.png
PIZZA
发表于 2025-3-23 07:54:09
http://reply.papertrans.cn/24/2340/233947/233947_10.png