---
title: "Jure Leskovec — all works, page 2 — Elamur Research"
description: "All 507 works of Jure Leskovec in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jure-leskovec/works/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jure-leskovec/works/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/) / [all works](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/) / page 2

# Jure Leskovec — all works

507 works · page 2 of 6 · 101–200 · [← Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/)

[← prev](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/) [1](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/) **2** [3](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/3/) … [6](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/6/) [next →](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/3/)

101. **[ROLAND: Graph Learning Framework for Dynamic Graphs ↗](https://doi.org/10.1145/3534678.3539300) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Jiaxuan You, Tianyu Du, Jure Leskovec*2022 · 190 citations*
102. **[The life and death of online groups ↗](https://doi.org/10.1145/2124295.2124374) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Sanjay Kairam, Dan J. Wang, Jure Leskovec*2012 · 190 citations*
103. **[Clash of the Contagions: Cooperation and Competition in Information Diffusion ↗](https://doi.org/10.1109/icdm.2012.159) Proceedings · no summary yet**Seth A. Myers, Jure Leskovec*2012 · 187 citations*
104. **[Deep Bidirectional Language-Knowledge Graph Pretraining ↗](https://doi.org/10.52202/068431-2704) neural information processing systems · no summary yet**Michihiro Yasunaga et al.*2022 · 182 citations*
105. **[Best practices for analyzing large-scale health data from wearables and smartphone apps ↗](https://doi.org/10.1038/s41746-019-0121-1) npj Digital Medicine · no summary yet**Jennifer L. Hicks et al.*2019 · 181 citations*
106. **[An Army of Me ↗](https://doi.org/10.1145/3038912.3052677) International World Wide Web Conference (WWW) · no summary yet**Srijan Kumar et al.*2017 · 177 citations*
107. **[Design Space for Graph Neural Networks ↗](https://arxiv.org/abs/2011.08843) arXiv (Cornell University) · no summary yet**Jiaxuan You, Rex Ying, Jure Leskovec*2020 · 176 citations*
108. **[Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text ↗](https://openalex.org/W7099323099) no summary yet**Julian McAuley, Jure Leskovec*2014 · 176 citations*
109. **[Network Inference via the Time-Varying Graphical Lasso ↗](https://doi.org/10.1145/3097983.3098037) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**David Hallac et al.*2017 · 175 citations*
110. **[Governance in Social Media: A Case Study of the Wikipedia Promotion Process ↗](https://doi.org/10.1609/icwsm.v4i1.14013) Proceedings of the International AAAI Conference on Web and Social Media · no summary yet**Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg*2010 · 174 citations*
111. **[On the Convexity of Latent Social Network Inference ↗](https://arxiv.org/abs/1010.5504) arXiv (Cornell University) · no summary yet**Seth A. Myers, Jure Leskovec*2010 · 174 citations*
112. **[Identification of disease treatment mechanisms through the multiscale interactome ↗](https://doi.org/10.1038/s41467-021-21770-8) Nature Communications · no summary yet**Camilo Ruiz, Marinka Žitnik, Jure Leskovec*2021 · 168 citations*
113. **[To Embed or Not: Network Embedding as a Paradigm in Computational Biology ↗](https://doi.org/10.3389/fgene.2019.00381) Frontiers in Genetics · no summary yet**Walter Nelson et al.*2019 · 167 citations*
114. **[Image Labeling on a Network: Using Social-Network Metadata for Image Classification ↗](https://doi.org/10.1007/978-3-642-33765-9_59) Lecture notes in computer science · no summary yet**Julian McAuley, Jure Leskovec*2012 · 167 citations*
115. **[Human mobility networks reveal increased segregation in large cities ↗](https://doi.org/10.1038/s41586-023-06757-3) Nature · no summary yet**Hamed Nilforoshan et al.*2023 · 164 citations*
116. **[Overlapping Communities Explain Core–Periphery Organization of Networks ↗](https://doi.org/10.1109/jproc.2014.2364018) Proceedings of the IEEE · no summary yet**Jaewon Yang, Jure Leskovec*2014 · 162 citations*
117. **[Multiplicative Attribute Graph Model of Real-World Networks ↗](https://doi.org/10.1007/978-3-642-18009-5_7) Lecture notes in computer science · no summary yet**Myunghwan Kim, Jure Leskovec*2010 · 161 citations*
118. **[Identity-aware Graph Neural Networks ↗](https://doi.org/10.1609/aaai.v35i12.17283) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiaxuan You et al.*2021 · 159 citations*
119. **[Network enhancement as a general method to denoise weighted biological networks ↗](https://doi.org/10.1038/s41467-018-05469-x) Nature Communications · no summary yet**Bo Wang et al.*2018 · 157 citations*
120. **[Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development ↗](https://arxiv.org/abs/2102.09548) arXiv (Cornell University) · no summary yet**Kexin Huang et al.*2021 · 156 citations*
121. **[From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews ↗](https://arxiv.org/abs/1303.4402) arXiv (Cornell University) · no summary yet**Julian McAuley, Jure Leskovec*2013 · 156 citations*
122. **[OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs ↗](https://arxiv.org/abs/2103.09430) arXiv:2103.09430 · no summary yet**Weihua Hu et al.*2021 · 155 citations*
123. **[Human wayfinding in information networks ↗](https://doi.org/10.1145/2187836.2187920) International World Wide Web Conference (WWW) · no summary yet**Robert West, Jure Leskovec*2012 · 154 citations*
124. **[The role of social networks in online shopping ↗](https://doi.org/10.1145/1993574.1993598) ACM Conference on Electronic Commerce (EC) · no summary yet**Stephen D. Guo, Mengqiu Wang, Jure Leskovec*2011 · 150 citations*
125. **[Relational Message Passing for Knowledge Graph Completion ↗](https://doi.org/10.1145/3447548.3467247) arXiv:2002.06757 · no summary yet**Hongwei Wang, Hongyu Ren, Jure Leskovec*2021 · 148 citations*
126. **[Selection via Proxy: Efficient Data Selection for Deep Learning ↗](https://arxiv.org/abs/1906.11829) arXiv (Cornell University) · no summary yet**Cody Coleman et al.*2019 · 148 citations*
127. **[Modeling Information Propagation with Survival Theory ↗](https://arxiv.org/abs/1305.3616) arXiv (Cornell University) · no summary yet**Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf*2013 · 148 citations*
128. **[Cascading Behavior in Large Blog Graphs ↗](https://arxiv.org/abs/0704.2803) arXiv (Cornell University) · no summary yet**Jure Leskovec et al.*2007 · 148 citations*
129. [**MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation arXiv:2310.03302**Qian Huang, Jian Vora, Percy Liang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-mlagentbench-evaluating-language-agents/)
130. **[SNAP: A General Purpose Network Analysis and Graph Mining Library ↗](https://arxiv.org/abs/1606.07550) arXiv (Cornell University) · no summary yet**Jure Leskovec, Rok Sosič*2016 · 147 citations*
131. **[Biomni: A General-Purpose Biomedical AI Agent ↗](https://doi.org/10.1101/2025.05.30.656746) bioRxiv 2025.05.30.656746 · no summary yet**Kexin Huang et al.*2025 · 146 citations*
132. **[How Community Feedback Shapes User Behavior ↗](https://doi.org/10.1609/icwsm.v8i1.14518) Proceedings of the International AAAI Conference on Web and Social Media · no summary yet**Justin S. Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec*2014 · 146 citations*
133. **[Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs ↗](https://arxiv.org/abs/2010.11465) arXiv:2010.11465 · no summary yet**Hongyu Ren, Jure Leskovec*2020 · 144 citations*
134. **[Online Actions with Offline Impact ↗](https://doi.org/10.1145/3018661.3018672) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Tim Althoff, Pranav Jindal, Jure Leskovec*2017 · 143 citations*
135. **[A computational approach to politeness with application to social factors](https://md.research.elamur.ai/free/en/papers/mizil-2013-computational-approach-politeness-application-social/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al.*2013 · 141 citations*
136. **[Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings ↗](https://arxiv.org/abs/2002.05969) arXiv:2002.05969 · no summary yet**Hongyu Ren, Weihua Hu, Jure Leskovec*2020 · 134 citations*
137. **[Evolution of resilience in protein interactomes across the tree of life ↗](https://doi.org/10.1073/pnas.1818013116) Proceedings of the National Academy of Sciences · no summary yet**Marinka Žitnik et al.*2019 · 133 citations*
138. **[Supervised Random Walks: Predicting and Recommending Links in Social Networks ↗](https://arxiv.org/abs/1011.4071) arXiv (Cornell University) · no summary yet**Lars Bäckström, Jure Leskovec*2010 · 132 citations*
139. **[HADI ↗](https://doi.org/10.1145/1921632.1921634) ACM Transactions on Knowledge Discovery from Data · no summary yet**U Kang et al.*2011 · 130 citations*
140. **[Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN ↗](https://doi.org/10.1038/s41592-024-02191-z) Nature Methods · no summary yet**Yanay Rosen et al.*2024 · 129 citations*
141. **[Effects of user similarity in social media ↗](https://doi.org/10.1145/2124295.2124378) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Ashton Anderson et al.*2012 · 128 citations*
142. **[Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗](https://arxiv.org/abs/1904.04381) arXiv:1904.04381 · no summary yet**Jiaxuan You et al.*2019 · 127 citations*
143. **[PinnerSage ↗](https://doi.org/10.1145/3394486.3403280) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Aditya Pal et al.*2020 · 125 citations*
144. **[Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning ↗](https://arxiv.org/abs/2009.00142) arXiv (Cornell University) · no summary yet**Pan Li et al.*2020 · 122 citations*
145. **[Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila ↗](https://doi.org/10.7554/elife.63856) eLife · no summary yet**Colleen N. McLaughlin et al.*2021 · 120 citations*
146. **[Driver identification using automobile sensor data from a single turn ↗](https://doi.org/10.1109/itsc.2016.7795670) IEEE International Conference on Intelligent Transportation Systems (ITSC) · no summary yet**David Hallac et al.*2016 · 119 citations*
147. **[Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems ↗](https://doi.org/10.1109/icra.2018.8460966) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Ramón Iglesias et al.*2018 · 118 citations*
148. [**Med-Flamingo: a Multimodal Medical Few-shot Learner arXiv:2307.15189**Michael Moor, Qian Huang, Shirley Wu, et al.*2023 · 116 citations*](https://md.research.elamur.ai/free/en/papers/moor-2023-med-flamingo-multimodal-medical-few/)
149. **[Correcting for missing data in information cascades ↗](https://doi.org/10.1145/1935826.1935844) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Eldar Sadikov et al.*2011 · 116 citations*
150. **[The Selective Labels Problem ↗](https://doi.org/10.1145/3097983.3098066) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Himabindu Lakkaraju et al.*2017 · 115 citations*
151. **[Structure and Overlaps of Ground-Truth Communities in Networks ↗](https://doi.org/10.1145/2594454) ACM Transactions on Intelligent Systems and Technology · no summary yet**Jaewon Yang, Jure Leskovec*2014 · 114 citations*
152. **[Multi-hop Attention Graph Neural Networks ↗](https://doi.org/10.24963/ijcai.2021/425) no summary yet**Guangtao Wang et al.*2021 · 111 citations*
153. **[Higher-order clustering in networks ↗](https://doi.org/10.1103/physreve.97.052306) Physical review. E · no summary yet**Hao Yin, Austin R. Benson, Jure Leskovec*2018 · 111 citations*
154. **[Graph Information Bottleneck ↗](https://arxiv.org/abs/2010.12811) arXiv (Cornell University) · no summary yet**Tailin Wu et al.*2020 · 108 citations*
155. **[Embedding Logical Queries on Knowledge Graphs ↗](https://arxiv.org/abs/1806.01445) arXiv:1806.01445 · no summary yet**William L. Hamilton et al.*2018 · 108 citations*
156. **[GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ↗](https://arxiv.org/abs/2201.08860) arXiv (Cornell University) · no summary yet**Xikun Zhang et al.*2022 · 106 citations*
157. **[Large-scale analysis of disease pathways in the human interactome ↗](https://doi.org/10.1142/9789813235533_0011) Pacific Symposium on Biocomputing (PSB) · no summary yet**Monica Agrawal, Marinka Žitnik, Jure Leskovec*2017 · 106 citations*
158. **[Multiplicative Attribute Graph Model of Real-World Networks ↗](https://doi.org/10.1080/15427951.2012.625257) Internet Mathematics · no summary yet**Myunghwan Kim, Jure Leskovec*2012 · 105 citations*
159. [**Retrieval-Augmented Multimodal Language Modeling arXiv:2211.12561**Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, et al.*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-retrieval-augmented-multimodal-language-modeling/)
160. **[Donor Retention in Online Crowdfunding Communities ↗](https://doi.org/10.1145/2736277.2741120) International World Wide Web Conference (WWW) · no summary yet**Tim Althoff, Jure Leskovec*2015 · 104 citations*
161. **[Dynamics of large networks ↗](https://openalex.org/W2275735758) no summary yet**Christos Faloutsos, Jure Leskovec*2008 · 102 citations*
162. **[Handling Missing Data with Graph Representation Learning ↗](https://arxiv.org/abs/2010.16418) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2020 · 101 citations*
163. **[Do Cascades Recur? ↗](https://doi.org/10.1145/2872427.2882993) International World Wide Web Conference (WWW) · no summary yet**Justin S. Cheng et al.*2016 · 100 citations*
164. **[Tensor Spectral Clustering for Partitioning Higher-order Network Structures ↗](https://doi.org/10.1137/1.9781611974010.14) SIAM International Conference on Data Mining · no summary yet**Austin R. Benson, David F. Gleich, Jure Leskovec*2015 · 97 citations*
165. **[Position-aware Graph Neural Networks ↗](https://arxiv.org/abs/1906.04817) arXiv (Cornell University) · no summary yet**Jiaxuan You, Rex Ying, Jure Leskovec*2019 · 94 citations*
166. **[Predicting cellular responses to perturbation across diverse contexts with State ↗](https://doi.org/10.1016/j.cell.2026.07.052) Cell · no summary yet**Abhinav Adduri et al.*2026 · 93 citations*
167. **[Unifying Graph Convolutional Neural Networks and Label Propagation ↗](https://arxiv.org/abs/2002.06755) arXiv (Cornell University) · no summary yet**Hongwei Wang, Jure Leskovec*2020 · 92 citations*
168. **[Community Identity and User Engagement in a Multi-Community Landscape ↗](https://doi.org/10.1609/icwsm.v11i1.14904) Proceedings of the International AAAI Conference on Web and Social Media · no summary yet**Justine Zhang et al.*2017 · 92 citations*
169. **[Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model ↗](https://arxiv.org/abs/1106.5053) arXiv (Cornell University) · no summary yet**Myunghwan Kim, Jure Leskovec*2011 · 92 citations*
170. **[Learning Sub-Structures of Document Semantic Graphs for Document Summarization ↗](https://doi.org/10.5281/zenodo.14167771) no summary yet**Jure Leskovec, Marko Grobelnik, Nataša Milić-Frayling*2004 · 90 citations*
171. **[Coresets for Data-efficient Training of Machine Learning Models ↗](https://arxiv.org/abs/1906.01827) arXiv (Cornell University) · no summary yet**Baharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec*2019 · 89 citations*
172. **[Information cartography ↗](https://doi.org/10.1145/2487575.2487690) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Dafna Shahaf et al.*2013 · 89 citations*
173. **[Why We Read Wikipedia ↗](https://doi.org/10.1145/3038912.3052716) International World Wide Web Conference (WWW) · no summary yet**Philipp Singer et al.*2017 · 88 citations*
174. **[Language-Agnostic Representation Learning of Source Code from Structure and Context ↗](https://arxiv.org/abs/2103.11318) arXiv:2103.11318 · no summary yet**Daniel Zügner et al.*2021 · 85 citations*
175. **[Understanding Behaviors that Lead to Purchasing ↗](https://doi.org/10.1145/2939672.2939729) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Caroline Lo, Dan Frankowski, Jure Leskovec*2016 · 84 citations*
176. **[Social media analytics ↗](https://doi.org/10.1145/1963192.1963309) no summary yet**Jure Leskovec*2011 · 82 citations*
177. **[Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks ↗](https://arxiv.org/abs/2101.05974) arXiv (Cornell University) · no summary yet**Yanbang Wang et al.*2021 · 81 citations*
178. **[Large-scale diet tracking data reveal disparate associations between food environment and diet ↗](https://doi.org/10.1038/s41467-021-27522-y) Nature Communications · no summary yet**Tim Althoff et al.*2022 · 79 citations*
179. **[Complete the Look: Scene-Based Complementary Product Recommendation ↗](https://doi.org/10.1109/cvpr.2019.01078) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wang-Cheng Kang et al.*2019 · 79 citations*
180. **[Inferring Person-to-person Proximity Using WiFi Signals ↗](https://doi.org/10.1145/3090089) Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · no summary yet**Piotr Sapieżyński et al.*2017 · 78 citations*
181. **[Dynamics of bidding in a P2P lending service ↗](https://doi.org/10.1145/1963405.1963483) International World Wide Web Conference (WWW) · no summary yet**Simla Ceyhan, Xiaolin Shi, Jure Leskovec*2011 · 78 citations*
182. **[Holistic Evaluation of Text-to-Image Models ↗](https://doi.org/10.52202/075280-3067) neural information processing systems · no summary yet**Tony Lee et al.*2023 · 77 citations*
183. **[Citing for high impact ↗](https://doi.org/10.1145/1816123.1816131) ACM/IEEE Joint Conference on Digital Libraries · no summary yet**Xiaolin Shi, Jure Leskovec, Daniel A. McFarland*2010 · 75 citations*
184. [**Large Language Models as Analogical Reasoners arXiv:2310.01714**Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.*2023 · 74 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2023-large-language-models-analogical-reasoners/)
185. **[How Gamification Affects Physical Activity ↗](https://doi.org/10.1145/3041021.3054172) no summary yet**Ali Shameli et al.*2017 · 74 citations*
186. **[Detecting cohesive and 2-mode communities indirected and undirected networks ↗](https://doi.org/10.1145/2556195.2556243) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Jaewon Yang, Julian McAuley, Jure Leskovec*2014 · 73 citations*
187. **[VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ↗](https://doi.org/10.1109/iccv51070.2023.01973) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yanan Wang et al.*2023 · 72 citations*
188. **[Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons ↗](https://doi.org/10.7554/elife.63450) eLife · no summary yet**Qijing Xie et al.*2021 · 72 citations*
189. **[Planetary-Scale Views on an Instant-Messaging Network ↗](https://arxiv.org/abs/0803.0939) arXiv (Cornell University) · no summary yet**Jure Leskovec, Eric Horvitz*2008 · 72 citations*
190. **[Finding Patterns in Blog Shapes and Blog Evolution ↗](https://doi.org/10.1184/r1/6605672) no summary yet**Mary McGlohon et al.*70 citations*
191. **[Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs ↗](https://doi.org/10.1038/s41562-020-01046-9) Nature Human Behaviour · no summary yet**Emma Pierson et al.*2021 · 68 citations*
192. **[Information Survival Threshold in Sensor and P2P Networks ↗](https://doi.org/10.1109/infcom.2007.156) no summary yet**Deepayan Chakrabarti et al.*2007 · 66 citations*
193. **[Leveraging the Cell Ontology to classify unseen cell types ↗](https://doi.org/10.1038/s41467-021-25725-x) Nature Communications · no summary yet**Sheng Wang et al.*2021 · 65 citations*
194. **[Global Diffusion via Cascading Invitations ↗](https://doi.org/10.1145/2736277.2741672) International World Wide Web Conference (WWW) · no summary yet**Ashton Anderson et al.*2015 · 65 citations*
195. **[F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams ↗](https://doi.org/10.1145/3437963.3441806) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Yen‐Yu Chang et al.*2021 · 63 citations*
196. **[LM-Critic: Language Models for Unsupervised Grammatical Error Correction ↗](https://aclanthology.org/2021.emnlp-main.611/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2021 · 63 citations*
197. **[Monitoring Network Evolution using MDL ↗](https://doi.org/10.1109/icde.2008.4497545) Proceedings - International Conference on Data Engineering · no summary yet**Jure Ferlež et al.*2008 · 63 citations*
198. **[Finding progression stages in time-evolving event sequences ↗](https://doi.org/10.1145/2566486.2568044) International World Wide Web Conference (WWW) · no summary yet**Jaewon Yang et al.*2014 · 60 citations*
199. **[Temporal Graph Benchmark for Machine Learning on Temporal Graphs ↗](https://doi.org/10.52202/075280-0099) neural information processing systems · no summary yet**Shenyang Huang et al.*2023 · 58 citations*
200. **[PinnerFormer ↗](https://doi.org/10.1145/3534678.3539156) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Nikil Pancha et al.*2022 · 57 citations*

[← prev](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/) [1](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/) **2** [3](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/3/) … [6](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/6/) [next →](https://md.research.elamur.ai/free/en/authors/jure-leskovec/works/page/3/)
