Building information modeling (BIM)RenovationGraph-based modelModeling and simulation (M&S)Supply chain management (SCM)Purpose – The purpose of this paper is to propose a methodology to integrate the construction Supply Chain (SC) through the application of Building Information Modeling (BIM) and ...
In this poster, we apply Edge-Markovian Dynamic Graphs to present an analysis framework to evaluate the average delay for the information dissemination in Mobile Social Networks. It is the first model to give a detailed expression of average information dissemination delay based on message size, tra...
在端到端NLG模型日益流行的今天,如何提高模型的表示能力,并且在摘要中兼顾信息正确性(information correctness)、显著性(saliency)、流畅性(fluency)、连贯性(coherence)与新颖性(novelty)已经成为了非常重要的问题。本文正是基于这个出发点,提出了一种Graph-based Attention Neural Model。 总的来说,本文的主要工作有...
Abstract—(研究背景)Informationdiffusionis an important and attractive field of research in the area of social network analysis, and is at the heart of many studies and applications of knowledge extraction and prediction. (研究目的)Most of these studies have focused on identifying the most influentia...
wget http://vision.soic.indiana.edu/wp/wp-content/uploads/graphunet.tar.gz tar -xvf graphunet.tar.gz python Graph.py \ --input_file ./datasets/fhad/ \ --test \ --batch_size 64 \ --model_def GraphUNet \ --gpu \ --gpu_number 0 \ --pretrained_model ./checkpoints/graphunet/...
information together with high-order question-skill correlations, which is mostly limited by data sparsity and multi-skill problems. From the model perspective, previous models can hardly capture the long-term dependency of student exercise history, and cannot model the interactions between student-...
Model Optimization 使用交叉熵损失函数计算损失: 实验 Datasets Result Ablation Study In-depth Study 进一步地,论文展示了不同 GCN 模型下的效果比较: 另一方面,为了证明 DRAN 可以有效地用 DGCN 学习 POI 的分解表示,论文计算了两个数据集上,维数的相关性,并进行了可视化展示。可以看出,结果显示了四个明显的对角...
modern search engines have evolved to also retrieve entities and to provide direct answers to the information needs of the users. Cross-referencing information from heterogeneous sources has become fundamental, however a mismatch still exists between text-based and knowledge-based retrieval approaches. Th...
python main.py --dataset assist09_3 --n_hop 3 --skill_neighbor_num 4 --question_neighbor_num 4 --hist_neighbor_num 3 --next_neighbor_num 4 --model hsei --lr 0.001 --att_bound 0.7 --sim_emb question_emb --dropout_keep_probs [0.8,0.8,1] ...
Collaborative Filtering (CF): 基于协同过滤的推荐系统,协同过滤算法是从相似度度量出发,考虑 user 或者 item 之间的相似度进行相关推荐,它比较常用的两种方法是基于内存(memory-based)和基于模型(model-based)的两种方法。 Content-based Filtering (CB):基于内容的推荐系统,与基于协同过滤从全局 user 和 item 的交...