---
title: "Who cites Graph Attention Networks"
description: "339 papers of the Elamur Research library cite «Graph Attention Networks», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/veli-vckovic-2017-graph-attention-networks/cited-by/"
---
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# Who cites «Graph Attention Networks»

339 papers of our library cite it (of the 140,884 whose bibliographies we read) · 9 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/veli-vckovic-2017-graph-attention-networks/)

1. [**Relational Graph Attention Network for Aspect-based Sentiment Analysis**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 775 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)
2. [**Heterogeneous Graph Neural Networks for Extractive Document Summarization**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 368 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/)
3. [**Directed Acyclic Graph Network for Conversational Emotion Recognition**Weizhou Shen, Siyue Wu, Yunyi Yang, et al.*2021 · 344 citations*](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/)
4. [**Fine-grained Fact Verification with Kernel Graph Attention Network**Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.*2020 · 282 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/)
5. [**Distinguish Confusing Law Articles for Legal Judgment Prediction**Nuo Xu, Pinghui Wang, Long Chen, et al.*2020 · 258 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/)
6. [**G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)
7. [**Reasoning Over Semantic-Level Graph for Fact Checking**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/)
8. [**Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations**I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/lee-2020-weakly-supervised-modeling-contextualized-event/)
9. [**Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)**Yue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)*2023*](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/)

330 more papers of our library cite it; they have no page here yet.

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