而对于question节点,使用max-pooling获得其表示。 Graph Reasoning contextualized representations of all the graph nodes are transformed into higher-level features via a graph neural network. , , , 分别是图中该类型节点的个数, 实验中分别设置为4, 40, 60 (padded where necessary). , 其中 。 使...
Multi-hop reasoningHeterogeneous dataHierarchical graph networkMulti-hop Question Answering over heterogeneous data is a challenging task in Natural Language Processing(NLP), which aims to find the answer among heterogeneous data sources and reasoning chains. When facing complex reasoning scenarios, most ...
EMNLP2020 Hierarchical Graph Network for Multi-hop Question Answering(待更新) 解决文本知识问答中的多跳问题
Multi-hop attention graph neural network. Preprint at https://arxiv.org/abs/2009.14332 (2020). Lu, W. et al. TANKBind: trigonometry-aware neural networks for drug–protein binding structure prediction. Preprint at https://www.biorxiv.org/content/10.1101/2022.06.06.495043v1 (2022). Lewis, G...
hierarchical random-scaled sector graph.node isolationIn designing wireless multihop sensor networks, determining system parameters that guarantee a reasonably ... U Okorafor,D Kundur - 《IEEE Transactions on Mobile Computing》 被引量: 23发表: 2009年 Energy Efficient Clustering Algorithm for Data Gather...
Rezwan-ul-Islam1, A J M Asraf Uddin1 "Energy Efficient Zone Division Multihop Hi- erarchical Clustering Algorithm for Load Balancing in Wireless Sensor Network. ", 2011.A. K. Ghosh, A. K. Bairagi, M. A. Kashem et al., "Energy Efficient Zone Division Multihop Hierarchical Clustering ...
Figure 6-22 Networking diagram for configuring a static multi-hop PW Configuration Roadmap As the user quantity does not increase, you can configure a static PW to meet users' need for exclusive use of VPN resources on the carrier network. To use hierarchical networking, configure a static mul...
After obtaining the feature of each node in the four graphs, the graph convolutional neural networks (GCN) is used to capture the relationships between nodes. Due to the complex and highly correlated structure of the interaction network, traditional machine learning methods often struggle to capture...
This "multi-hop" inference has been sho... P Jansen - Twelfth Workshop on Graph-based Methods for Natural Language Processing 被引量: 1发表: 2018年 Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism Neural auto-regressive sequence-to-sequence models ...
(referred to here as the different methodological fidelities) to each other. This model is used to dynamically traverse the full set of candidate materials in a budget aware, accuracy aware manner. It is progressive rather than hierarchical, allows termination to be decided by the user rather ...