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Heterogeneous Graph Gated Attention Network
2021 International Joint Conference on Neural Networks (IJCNN), 2021Heterogeneous graph containing different types of nodes or links is one of graph types, which is most relevant to actual problems. However, the research for heterogeneous graph has not been studied adequately. In this paper, we propose a new model named Heterogeneous Graph Gated Attention Network (HGGAN) to process heterogeneous graph, including node ...
Shuai Ma +3 more
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Heterogeneous Dynamic Graph Attention Network
2020 IEEE International Conference on Knowledge Graph (ICKG), 2020Network embedding (graph embedding) has become the focus of studying graph structure in recent years. In addition to the research on homogeneous networks and heterogeneous networks, there are also some methods to attempt to solve the problem of dynamic network embedding.
Qiuyan Li +3 more
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Graph Attention Network for Word Embeddings
2021The word embeddings approaches have attracted extensive attention and widely used in many natural language processing (NLP) tasks. Relatedness between words can be reflected in vector space by word embeddings. However, the current word embeddings approaches commonly do not explore the context-specific information of word deeply in the overall corpus ...
Yunfei Long +4 more
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Graph Attention in Attention Network for Image Denoising
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023Bo Jiang 0017 +4 more
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Multimodal heterogeneous graph attention network
Neural Computing and Applications, 2022Xiangen Jia +6 more
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A unified structure learning framework for graph attention networks
Neurocomputing, 2022Junyuan Xie
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Attention-based graph neural networks: a survey
Artificial Intelligence Review, 2023Chengcheng Sun +2 more
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Sparse Graph Attention Networks
IEEE Transactions on Knowledge and Data Engineering, 2021Shihao Ji
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Fairness-aware Graph Attention Networks
2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022Öykü Deniz Köse, Yanning Shen
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Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks
IEEE Transactions on Neural Networks and Learning Systems, 2022Zhifei Li, Hai Liu, Zhaoli Zhang
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