---
title: "Who cites Galileo Namata — 155 papers of our library"
description: "155 papers of the Elamur Research library cite the works of Galileo Namata, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/galileo-namata/cited-by/"
---
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# Who cites Galileo Namata

156 citations of their works from 155 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · [← Galileo Namata](https://md.research.elamur.ai/free/en/authors/galileo-namata/)

1. **[A Comprehensive Survey on Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/wu-2019-comprehensive-survey-graph-neural-networks/) [IEEE Transactions on Neural Networks and Learning Systems](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/)**Zonghan Wu, Shirui Pan, Fengwen Chen, et al.*2019 · 10,312 citations*
2. [**Graph Attention Networks arXiv:1710.10903**Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.*2017 · 9,035 citations*](https://md.research.elamur.ai/free/en/papers/veli-vckovic-2017-graph-attention-networks/)
3. [**Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907**Thomas N. Kipf, Max Welling*2016 · 9,023 citations*](https://md.research.elamur.ai/free/en/papers/kipf-2016-semi-supervised-classification-graph-convolutional/)
4. [**Fast Graph Representation Learning with PyTorch Geometric arXiv:1903.02428**Matthias Fey, Jan Eric Lenssen*2019 · 1,440 citations*](https://md.research.elamur.ai/free/en/papers/fey-2019-fast-graph-representation-learning-pytorch/)
5. **[Representation Learning for Text-level Discourse Parsing](https://md.research.elamur.ai/free/en/papers/ji-2014-representation-learning-text-level-discourse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yangfeng Ji, Jacob Eisenstein*2014 · 346 citations*
6. **[Abstractive Summarization of Product Reviews Using Discourse Structure](https://md.research.elamur.ai/free/en/papers/gerani-2014-abstractive-summarization-product-reviews-discourse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.*2014 · 262 citations*
7. **[Better Document-level Sentiment Analysis from RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*
8. **[One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*
9. [**One Embedder, Any Task: Instruction-Finetuned Text Embeddings arXiv:2212.09741**Hongjin Su, Weijia Shi, Jungo Kasai, et al.*2022 · 193 citations*](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/)
10. [**Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction arXiv:2106.06935**Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, et al.*2021 · 159 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-neural-bellman-ford-networks-general/)
11. **[Collective Classification for Fine-grained Information Status](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*
12. [**Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text arXiv:2401.12070**Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/hans-2024-spotting-llms-binoculars-zero-shot/)
13. **[Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities](https://md.research.elamur.ai/free/en/papers/zhou-2011-unsupervised-discovery-discourse-relations-eliminating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lanjun Zhou, Binyang Li, Wei Gao, et al.*2011 · 110 citations*
14. **[Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications](https://md.research.elamur.ai/free/en/papers/benamara-2017-evaluative-language-beyond-bags-words/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Farah Benamara, Maite Taboada, Yannick Mathieu*2017 · 104 citations*
15. **[Constrained Decoding for Text-Level Discourse Parsing](https://md.research.elamur.ai/free/en/papers/muller-2012-constrained-decoding-text-level-discourse/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Philippe Muller, Stergos Afantenos, Pascal Denis, et al.*2012 · 99 citations*
16. **[Relational Features in Fine-Grained Opinion Analysis](https://md.research.elamur.ai/free/en/papers/johansson-2013-relational-features-fine-grained-opinion/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Richard Johansson, Alessandro Moschitti*2013 · 98 citations*
17. **[Shallow Discourse Parsing with Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/ghosh-2011-shallow-discourse-parsing-conditional-random/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, et al.*2011 · 79 citations*
18. [**Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning arXiv:2305.19523**Xiaoxin He, Xavier Bresson, Thomas Laurent, et al.*2023 · 75 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-harnessing-explanations-llm-lm-interpreter/)
19. [**Unrestricted Bridging Resolution**Yufang Hou, Katja Markert, Michael Strube*2018 · 65 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-unrestricted-bridging-resolution/)
20. **[A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension](https://md.research.elamur.ai/free/en/papers/hernault-2010-semi-supervised-approach-improve-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka*2010 · 52 citations*
21. **[Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein*2015 · 46 citations*
22. **[A Survey of Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-survey-implicit-discourse-relation-recognition/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Wei Xiang, Bang Wang*2022 · 43 citations*
23. [**Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank**Kai Zhao, Liang Huang*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)
24. **[How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Vera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr*2019 · 36 citations*
25. **[Linguistic Tests for Discourse Relations in the TüBa-D/Z Corpus of Written German](https://md.research.elamur.ai/free/en/papers/versley-2013-linguistic-tests-discourse-relations-tuba/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Yannick Versley, Anna Gastel*2013 · 16 citations*
26. **[Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?](https://md.research.elamur.ai/free/en/papers/ge-2025-can-graph-descriptive-order-affect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuyao Ge, Shenghua Liu, Baolong Bi, et al.*2025 · 10 citations*
27. **[Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms](https://md.research.elamur.ai/free/en/papers/bayoudhi-2015-sentiment-classification-arabic-documents-experiments/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Amine Bayoudhi, Hatem Ghorbel, Lamia Hadrich Belguith*2015 · 6 citations*
28. **[Exploiting Discourse Relations for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2012-exploiting-discourse-relations-sentiment-analysis/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Fei Wang, Yunfang Wu, Likun Qiu*2012 · 6 citations*
29. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/)
30. **[A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models](https://md.research.elamur.ai/free/en/papers/petkar-2026-graph-talks-but-who-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Soham Petkar, Hari Aakash K, Anirudh Vempati, et al.*2026 · 1 citation*
31. **[Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-graph-learning-tasks-pure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxiang Wang, Xinnan Dai, Wenqi Fan, et al.*2026 · 1 citation*
32. **[AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/sun-2026-agentgl-agentic-graph-learning-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanfu Sun, Kang Li, Dongzhe Fan, et al.*2026*
33. **[CITE: Benchmarking Heterogeneous Text-Attributed Graph Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-cite-benchmarking-heterogeneous-text-attributed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenghao Zhang, Qingqing Long, Ludi Wang, et al.*2026*
34. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*
35. **[Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach](https://md.research.elamur.ai/free/en/papers/nishide-2026-mitigating-degree-bias-hypergraphs-attribute/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ryusei Nishide, Makoto Miwa*2026*
36. [**Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展) Acta Automatica Sinica (自动化学报)**Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/)

119 more citing papers of our library have no page here yet.

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