🧑‍🔬 Who cites Lise Getoor

175 citations of their works from 174 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Lise Getoor

1. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
2. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
3. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
4. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
5. Representation Learning for Text-level Discourse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Yangfeng Ji, Jacob Eisenstein2014 · 346 citations
6. Abstractive Summarization of Product Reviews Using Discourse StructureConference on Empirical Methods in Natural Language Processing (EMNLP)Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.2014 · 262 citations
7. Better Document-level Sentiment Analysis from RST Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein2015 · 235 citations
8. One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse RelationsTransactions of the Association for Computational Linguistics (TACL)Yangfeng Ji, Jacob Eisenstein2015 · 198 citations
9. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 193 citations
10. Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionarXiv:2106.06935Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, et al.2021 · 159 citations
11. Collective Classification for Fine-grained Information StatusAnnual Meeting of the Association for Computational Linguistics (ACL)Katja Markert, Yufang Hou, Michael Strube2012 · 144 citations
12. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
13. Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity AmbiguitiesConference on Empirical Methods in Natural Language Processing (EMNLP)Lanjun Zhou, Binyang Li, Wei Gao, et al.2011 · 110 citations
14. Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational ApplicationsComputational LinguisticsFarah Benamara, Maite Taboada, Yannick Mathieu2017 · 104 citations
15. Constrained Decoding for Text-Level Discourse ParsingInternational Conference on Computational Linguistics (COLING)Philippe Muller, Stergos Afantenos, Pascal Denis, et al.2012 · 99 citations
16. Relational Features in Fine-Grained Opinion AnalysisComputational LinguisticsRichard Johansson, Alessandro Moschitti2013 · 98 citations
17. Shallow Discourse Parsing with Conditional Random FieldsInternational Joint Conference on Natural Language Processing (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 LearningarXiv:2305.19523Xiaoxin He, Xavier Bresson, Thomas Laurent, et al.2023 · 75 citations
19. Unrestricted Bridging ResolutionYufang Hou, Katja Markert, Michael Strube2018 · 65 citations
20. A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector ExtensionConference on Empirical Methods in Natural Language Processing (EMNLP)Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka2010 · 52 citations
21. Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse RelationsConference on Empirical Methods in Natural Language Processing (EMNLP)Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein2015 · 46 citations
22. A Survey of Implicit Discourse Relation RecognitionACM Computing SurveysWei Xiang, Bang Wang2022 · 43 citations
23. Joint Syntacto-Discourse Parsing and the Syntacto-Discourse TreebankKai Zhao, Liang Huang2017 · 43 citations
24. How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotationsDialogue & DiscourseVera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr2019 · 36 citations
25. Linguistic Tests for Discourse Relations in the TüBa-D/Z Corpus of Written GermanDialogue & DiscourseYannick Versley, Anna Gastel2013 · 16 citations
26. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (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 algorithmsPacific Asia Conference on Language, Information and Computation (PACLIC)Amine Bayoudhi, Hatem Ghorbel, Lamia Hadrich Belguith2015 · 6 citations
28. Exploiting Discourse Relations for Sentiment AnalysisInternational Conference on Computational Linguistics (COLING)Fei Wang, Yunfang Wu, Likun Qiu2012 · 6 citations
29. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations
30. A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language ModelsFindings of the Association for Computational LinguisticsSoham Petkar, Hari Aakash K, Anirudh Vempati, et al.2026 · 1 citation
31. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
32. AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanfu Sun, Kang Li, Dongzhe Fan, et al.2026
33. CITE: Benchmarking Heterogeneous Text-Attributed Graph ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenghao Zhang, Qingqing Long, Ludi Wang, et al.2026
34. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
35. Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure ApproachConference of the European Chapter of the Association for Computational Linguistics (EACL)Ryusei Nishide, Makoto Miwa2026
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

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