---
title: "Who cites Petar Veličkovic — 390 papers of our library"
description: "390 papers of the Elamur Research library cite the works of Petar Veli\\vckovic, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/petar-veli-vckovic/cited-by/"
---
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# Who cites Petar Veličkovic

390 citations of their works from 390 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · [← Petar Veličkovic](https://md.research.elamur.ai/free/en/authors/petar-veli-vckovic/)

1. **[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 776 citations*
2. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 685 citations*
3. **[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 370 citations*
4. **[Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/huang-2019-syntax-aware-aspect-level-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Binxuan Huang, Kathleen Carley*2019 · 351 citations*
5. **[Directed Acyclic Graph Network for Conversational Emotion Recognition](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weizhou Shen, Siyue Wu, Yunyi Yang, et al.*2021 · 346 citations*
6. **[Fine-grained Fact Verification with Kernel Graph Attention Network](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.*2020 · 283 citations*
7. **[Graph Retrieval-Augmented Generation: A Survey](https://md.research.elamur.ai/free/en/papers/peng-2024-graph-retrieval-augmented-generation-survey/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Boci Peng, Yun Zhu, Yongchao Liu, et al.*2024 · 276 citations*
8. **[Distinguish Confusing Law Articles for Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nuo Xu, Pinghui Wang, Long Chen, et al.*2020 · 258 citations*
9. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 236 citations*
10. **[Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 222 citations*
11. **[Enhancing Factual Consistency of Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhu-2021-enhancing-factual-consistency-abstractive-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chenguang Zhu, William Hinthorn, Ruochen Xu, et al.*2021 · 190 citations*
12. **[Semantic Graphs for Generating Deep Questions](https://md.research.elamur.ai/free/en/papers/pan-2020-semantic-graphs-generating-deep-questions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liangming Pan, Yuxi Xie, Yansong Feng, et al.*2020 · 134 citations*
13. [**Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs arXiv:2503.01307**Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.*2025 · 123 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2025-cognitive-behaviors-that-enable-self/)
14. **[Multi-Step Reasoning with Large Language Models, a Survey](https://md.research.elamur.ai/free/en/papers/plaat-2024-multi-step-reasoning-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aske Plaat, Annie Wong, Suzan Verberne, et al.*2024 · 106 citations*
15. [**Retrieval-Augmented Generation with Graphs (GraphRAG) arXiv:2501.00309**Haoyu Han, Yu Wang, Harry Shomer, et al.*2025 · 87 citations*](https://md.research.elamur.ai/free/en/papers/han-2025-retrieval-augmented-generation-graphs-graphrag/)
16. **[Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-co-gat-co-interactive-graph/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Zhouyang Li, Wanxiang Che, et al.*2020 · 85 citations*
17. [**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/)
18. [**Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought arXiv:2501.04682**Violet Xiang, Charlie Snell, Kanishk Gandhi, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2025-towards-system-2-reasoning-llms/)
19. **[Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework](https://md.research.elamur.ai/free/en/papers/wu-2023-extracting-low-high-frequency-knowledge/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Lirong Wu; Haitao Lin; Yufei Huang; Tianyu Fan;, Stan Z. Li*2023 · 35 citations*
20. [**RWKV-7 "Goose" with Expressive Dynamic State Evolution arXiv:2503.14456**Bo Peng, Ruichong Zhang, Daniel Goldstein, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/peng-2025-rwkv-7-goose-expressive-dynamic/)
21. **[Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations](https://md.research.elamur.ai/free/en/papers/lee-2020-weakly-supervised-modeling-contextualized-event/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser*2020 · 23 citations*
22. [**Taxonomy Tree Generation from Citation Graph arXiv:2410.03761**Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-taxonomy-tree-generation-citation-graph/)
23. [**BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery arXiv:2501.01540**Kanishk Gandhi, Michael Y. Li, Lyle Goodyear, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2025-boxinggym-benchmarking-progress-automated/)
24. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations*
25. **[GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings](https://md.research.elamur.ai/free/en/papers/ali-2023-gari-graph-attention-relative-isomorphism/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Ali, Maha Alshmrani, Jianbin Qin, et al.*2023 · 3 citations*
26. **[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*
27. **[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*
28. **[AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling](https://md.research.elamur.ai/free/en/papers/zhenyu-2026-aroma-augmented-reasoning-over-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wang Zhenyu, Geyan Ye, Wei Liu, et al.*2026*
29. **[Emotion–Cause Pair Extraction in Conversations via Semantic Decoupling and Alignment](https://md.research.elamur.ai/free/en/papers/ma-2026-emotion-cause-pair-extraction-conversations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianxiang Ma, Weijie Feng, Xinyu Wang, et al.*2026*
30. **[MuSe: Multi-Stage Graph Reasoning via Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-muse-multi-stage-graph-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanyu Wang, Xu Chu, Zhijie Tan, et al.*2026*
31. **[Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics](https://md.research.elamur.ai/free/en/papers/tran-2026-program-structure-aware-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Khang Tran, Khoa Nguyen, Cristian Borcea, et al.*2026*
32. **[Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-depression-prediction-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenguang Wang, Bo Li, Wenhui Tan, et al.*2026*
33. **[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)](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)*2023*

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

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