Graph convolutional networks (GCNs) have shown the powerful ability in text\nstructure representation and effectively facilitate the task of text\nclassification. However, challenges still exist in adapting GCN on learning\ndiscriminative features from texts due to the main issue of graph variants\n...
三、Graph Convolutional Network (GCN) 对于图结构数据,GCN可以对直接连接的节点进行卷积运算,对本地信息进行编码。通过多层GCNs的消息传递,图中的每个节点都可以了解到更多的全局信息。大多数以前的工作(Zhang et al.,2019;Sun等人,2019b)通过编码依赖树和合并单词之间的依赖路径来扩展GCN模型。他们在句子的句法依赖...
Smart Contract Vulnerability Detection Based onDual Attention Graph Convolutional Network Smart contracts on blockchains have received increasing attention due to the decentralized, transparent, and immutable characteristics of blockchain. Howev... Y Fan,S Shang,X Ding - Springer, Cham 被引量: 0发表...
Dual Attention Graph Convolutional Network About PyTorch implementation of DAGCN (Dual Attention Graph Convolutional Networks). Requirements: python 2.7 or python 3.6; pytorch >= 0.4.0 Installation This implementation is based on Hanjun Dai's structure2vec graph backend. Under the "lib/" directory, ...
3 Graph Convolutional Network (GCN) 受传统卷积神经网络(CNN) 和图嵌入的启发,GCN 是一种直接在图上运行的高效 CNN 变体(Kipf 和 Welling,2017)。对于图结构化数据,GCN 可以在直接连接的节点上应用卷积操作来编码局部信息。通过多层 GCN 的消息传递,图中的每个节点都可以学习到更多的全局信息。给定一个具有 n...
Graph Convolutional Network (GCN) 这个就很传统了,大家再熟悉下。 DualGCN Syntax-based GCN (SynGCN) 为了解决依存句法产生定的错误问题,这里使用的是生成依存句法之前的依存关系概率矩阵,其中,这里使用的目前句法SOTA模型LAL-Parser (Mrini et al., 2019). ...
论文笔记-双向Attention:A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction,程序员大本营,技术文章内容聚合第一站。
Multi-entity sentiment analysis using self-attention based hierarchical dilated convolutional neural network Future Generation Computer Systems, Volume 112, 2020, pp. 116-125 Chenquan Gan,…, Zufan Zhang Visual question answering via Attention-based syntactic structure tree-LSTM Applied Soft Computing, ...
Graph Convolutional Network (GCN) 这个就很传统了,大家再熟悉下。 DualGCN Syntax-based GCN (SynGCN)为了解决依存句法产生定的错误问题,这里使用的是生成依存句法之前的依存关系概率矩阵,其中,这里使用的目前句法SOTA模型LAL-Parser (Mrini et al., 2019). Semantic-based GCN (SemGCN)SemGCN其实很好理解,她的邻...
After building the projection pairs, our DeProjNet is followed by a dual-domain attention-guided network (Dual-AGNet) (Chao et al., 2022b), our previous work, to dual-process the low-dose CBCT in a paired-learning manner. Our PSDP is evaluated using the real-world low-dose projection ...