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ml:graph_nn [2021/12/03 19:28] – [Overviews] jmflanigml:graph_nn [2025/04/19 00:20] (current) – [Papers] jmflanig
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   * NLP Surveys:   * NLP Surveys:
     * **[[https://arxiv.org/pdf/2106.06090.pdf|Wu et al 2021 - Graph Neural Networks for Natural Language Processing: A Survey]]**     * **[[https://arxiv.org/pdf/2106.06090.pdf|Wu et al 2021 - Graph Neural Networks for Natural Language Processing: A Survey]]**
 +    * [[https://arxiv.org/pdf/2012.15445.pdf|Yuan et al 2020 - Explainability in Graph Neural Networks: A Taxonomic Survey]]
 +    * Nice overview in related work here: [[https://aclanthology.org/2021.findings-acl.126.pdf|Lin 2021]]
  
 ===== Papers ===== ===== Papers =====
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     * [[https://arxiv.org/pdf/1804.00823.pdf|Xu et al 2018 - Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks]]     * [[https://arxiv.org/pdf/1804.00823.pdf|Xu et al 2018 - Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks]]
   * Applications   * Applications
 +    * See also [[nlp:Knowledge-Enhanced Methods]].
     * [[https://www.aclweb.org/anthology/2020.findings-emnlp.255.pdf|Li et al 2020 - Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem]] (Graph to tree neural network)     * [[https://www.aclweb.org/anthology/2020.findings-emnlp.255.pdf|Li et al 2020 - Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem]] (Graph to tree neural network)
     * [[https://www.aclweb.org/anthology/D17-1209v1.pdf|Bastings et al 2017 - Graph Convolutional Encoders for Syntax-aware Neural Machine Translation]]     * [[https://www.aclweb.org/anthology/D17-1209v1.pdf|Bastings et al 2017 - Graph Convolutional Encoders for Syntax-aware Neural Machine Translation]]
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     * [[https://arxiv.org/pdf/1905.07374.pdf|Tu et al 2019 - Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs]]]     * [[https://arxiv.org/pdf/1905.07374.pdf|Tu et al 2019 - Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs]]]
     * [[https://arxiv.org/pdf/1908.00059.pdf|Chen et al 2019 - GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension]]     * [[https://arxiv.org/pdf/1908.00059.pdf|Chen et al 2019 - GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension]]
 +    * [[https://aclanthology.org/2021.findings-acl.126.pdf|Lin et al 2021 - BertGCN: Transductive Text Classification by Combining GCN and BERT]]
 +  * Graph Language Models
 +    * [[https://arxiv.org/pdf/2401.07105|2024 - Graph Language Models]]
  
 ===== Software ===== ===== Software =====
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 ===== Related Pages ===== ===== Related Pages =====
 +  * [[nlp:Knowledge-Enhanced Methods]]
   * [[nn_architectures|Neural Network Architectures]]   * [[nn_architectures|Neural Network Architectures]]
  
  
ml/graph_nn.1638559693.txt.gz · Last modified: 2023/06/15 07:36 (external edit)
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