🔗 Who cites «Order Matters: Sequence to sequence for sets»

89 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Order Matters: Sequence to sequence for sets»

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. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
3. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
4. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
5. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
6. SQLNet: Generating Structured Queries From Natural Language Without Reinforcement LearningarXiv:1711.04436Xiaojun Xu, Chang Liu, Dawn Song2017 · 372 citations
7. What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine AlignmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hongyuan Mei, Mohit Bansal, Matthew R. Walter2016 · 353 citations
8. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 352 citations
9. Searching for Effective Neural Extractive Summarization: What Works and What's NextAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Danqing Wang, et al.2019 · 225 citations
10. Insertion-based Decoding with Automatically Inferred Generation OrderTransactions of the Association for Computational Linguistics (TACL)Jiatao Gu, Qi Liu, Kyunghyun Cho2019 · 125 citations
11. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
12. Fast and Accurate Non-Projective Dependency Tree LinearizationXiang Yu, Simon Tannert, Ngoc Thang Vu, et al.2020 · 7 citations
13. The Bidirectional Process Reward ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Lingyin Zhang, Jun Gao, Xiaoxue Ren, et al.2026 · 1 citation

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

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