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/...
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,本文的主要工作有以下几点: (1)在传统的encoder-decoder模型中,引入了一种Graph-based Attention机制,提高了模型对句子显著性的适应能力; (2)提出了一种分层解码模型,并在其中引入了参考机制(reference mechanism),提高了摘要的新颖...
it is frequent for text corpora and knowledge bases to provide complementary views on a common topic. While, traditionally, the retrieval unit was the document, modern search engines have evolved to also retrieve entities and to provide direct answers to the information needs of the...
model perspective, previous models can hardly capture the long-term dependency of student exercise history, and cannot model the interactions between student-questions, and student-skills in a consistent way. In this paper, we propose a Graph-based Interaction model for Knowledge Tracing (GIKT) to...
②调用 xd = motion_model(xd, ud) ，在观测数据基础上添加噪声(轨迹和控制都有噪声)，用上一时刻的轨迹、真实轨迹和控制量和路标会产生下一个观测。实际应用中，观测比较复杂。观测数据通常来自各种传感器，如相机(单目、或双目)、imu、雷达、声纳、GPS 等，需要对传感器做标定，从不同传感器取回的数据还需要...
We created a call graph based model to store the profiling information. The graph G (V, E) consists of the vertices (V) representing classes and the edges (E) representing the method call between the dependent objects. The vertex weight is the cumulative execution time of the methods that ...
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...
Electrical engineering E-model| Event-based graph data model theory and implementation GEORGIA INSTITUTE OF TECHNOLOGY KimPilhoThe necessity of managing disparate data models is increasing within all IT areas. Emerging hybrid relational-XML systems are under development in this context to support both ...
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...
algorithms to explore the protein sequence and structure space.Here, we explore an alternative, top-down framework for protein design that directly learns aconditional generative model for protein sequences given a specif ication of the target structure, whichis represented as a graph over the ...