Aspect-based sentiment analysisGraph convolutional networksAspect gateAspect-specificAspect-based sentiment analysis aims to predict the sentiment polarity of each specific aspect term in a given sentence. However, the previous models ignore syntactical constraints and long-range sentiment dependencies and ...
To address this problem, in this paper we incorporate enhanced representations into a gated graph convolutional network to enrich the background information and further improve the attention mechanism to focus on the most relevant relation. Specifically, in the proposed framework, 1) we introduce a ...
(1)运行 dense Gated Graph Neural Networks, 用 python3 ./chem_tensorflow_dense.py (2)运行 sparse Gated Graph Neural Networks, 用 python3 ./chem_tensorflow_sparse.py (3)运行 sparse Graph Convolutional Networks (as inKipf et al. 2016), 用 python3 ./chem_tensorflow_gcn.py (4)Finally, it...
GCN Graph Convolutional Networks (GCNs) are a powerful neural network architecture for processing data that is structured as graphs. They are used to capture the dependence of graphs via message passing between the nodes of graphs. Here's a basic overview of the GCN methodology along with ...
Graph convolutional networkBidirectional gated recurrent unitDrug鈥揹rug interactions are critical in studying drug side effects. Thus, quickly and accurately identifying the relationship between drugs is necessary. Current methods for biomedical relation extraction include only the sequential information of ...
3.2. Gated convolutional neural networks A GCNN is a non-recurrent network alternative to capture long-term dependencies while avoiding sequential operations for better parallelizability. Thus, recurrent connections typically applied in RNNs are replaced by gated temporal convolutions. In general, convol...
To process the modal information, Transformer-Encoder, bi-directional gated recurrent units (BiGRU), and graph convolutional network (GCN) are utilized for ... X Lu,L Xie,L Xu,... 被引量: 0发表: 2023年 CFN-GU: A Cross-Modal Fusion Network with Gated Units for Emotion Recognition Subsequ...
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF) - leilin-research/GCGRNN
Language modeling with gated convolutional networks FangH. et al. Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations ACM Transactions on Information Systems (2020) FengF. et al. Cross-GCN: Enhancing graph convolutional network with k-order feature interactions ...
Wavelets on graphs via spectral graph theory Appl. Comput. Harmon. Anal. (2011) L.Linet al. Predicting station-level hourly demand in a large-scale bike-sharing network: a graph convolutional neural network approach Transp. Res. Part C Emerg. Technol. ...