🔗 Who cites «Collective Classification in Network Data»

118 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← back to «Collective Classification in Network Data»

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. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 193 citations
6. 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
7. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
8. 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
9. 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
10. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations
11. 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
12. 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
13. 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
14. CITE: Benchmarking Heterogeneous Text-Attributed Graph ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenghao Zhang, Qingqing Long, Ludi Wang, et al.2026
15. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
16. 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
17. 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

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

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