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ORCIDJure Leskovec
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- affiliation: Stanford University, USA
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2020 – today
- 2023
[j42]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
:
Hybrid forecasting of geopolitical events†. AI Mag. 44(1): 112-128 (2023)- [j41]Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen:
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143: 104407 (2023) - [j40]Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian:
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. IEEE Trans. Multim. 25: 942-952 (2023) - [c238]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI 2023: 14161-14169 - [c237]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - [c236]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. ICLR 2023 - [c235]Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec:
Geometric Latent Diffusion Models for 3D Molecule Generation. ICML 2023: 38592-38610 - [c234]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih:
Retrieval-Augmented Multimodal Language Modeling. ICML 2023: 39755-39769 - [c233]Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon:
Graph and Geometry Generative Modeling for Drug Discovery. KDD 2023: 5833-5834 - [c232]Jure Leskovec:
Databases as Graphs: Predictive Queries for Declarative Machine Learning. PODS 2023: 1 - [i194]Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. CoRR abs/2301.12292 (2023) - [i193]Christopher Fifty, Joseph M. Paggi, Ehsan Amid, Jure Leskovec, Ron O. Dror:
Harnessing Simulation for Molecular Embeddings. CoRR abs/2302.02055 (2023) - [i192]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023) - [i191]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR abs/2303.07669 (2023) - [i190]Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec:
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR abs/2303.14617 (2023) - [i189]Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup:
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR abs/2304.14274 (2023) - [i188]Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. CoRR abs/2305.01122 (2023) - [i187]Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec:
Geometric Latent Diffusion Models for 3D Molecule Generation. CoRR abs/2305.01140 (2023) - [i186]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. CoRR abs/2305.12322 (2023) - [i185]Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, Jure Leskovec:
PRODIGY: Enabling In-context Learning Over Graphs. CoRR abs/2305.12600 (2023) - [i184]Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR abs/2305.14535 (2023) - [i183]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR abs/2306.04766 (2023) - [i182]Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR abs/2307.01026 (2023) - [i181]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i180]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec:
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR abs/2307.15189 (2023) - [i179]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - [i178]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023) - 2022
- [j39]Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [j38]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16(4): 781-789 (2022) - [j37]Hongwei Wang, Jure Leskovec:
Combining Graph Convolutional Neural Networks and Label Propagation. ACM Trans. Inf. Syst. 40(4): 73:1-73:27 (2022) - [c231]Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe:
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI 2022: 12573-12579 - [c230]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. ACL (1) 2022: 8003-8016 - [c229]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models. ICLR 2022 - [c228]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. ICLR 2022 - [c227]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR 2022 - [c226]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 2022 - [c225]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans:
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD 2022: 1472-1482 - [c224]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. KDD 2022: 2358-2366 - [c223]Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. KDD 2022: 2703-2711 - [c222]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. KDD 2022: 3018-3028 - [c221]Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
PinnerFormer: Sequence Modeling for User Representation at Pinterest. KDD 2022: 3702-3712 - [c220]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD 2022: 4184-4194 - [c219]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. LoG 2022: 10 - [c218]Qian Huang, Hongyu Ren, Jure Leskovec:
Few-shot Relational Reasoning via Connection Subgraph Pretraining. NeurIPS 2022 - [c217]Tailin Wu, Takashi Maruyama, Jure Leskovec:
Learning to Accelerate Partial Differential Equations via Latent Global Evolution. NeurIPS 2022 - [c216]Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec:
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. NeurIPS 2022 - [c215]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS 2022 - [c214]Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec:
Analytical Models for Motifs in Temporal Networks. WWW (Companion Volume) 2022: 903-909 - [i177]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR abs/2201.08860 (2022) - [i176]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. CoRR abs/2203.15827 (2022) - [i175]Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec:
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR abs/2203.16162 (2022) - [i174]Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
PinnerFormer: Sequence Modeling for User Representation at Pinterest. CoRR abs/2205.04507 (2022) - [i173]Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR abs/2205.10666 (2022) - [i172]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR abs/2205.11501 (2022) - [i171]Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg:
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. CoRR abs/2205.11728 (2022) - [i170]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. CoRR abs/2206.03040 (2022) - [i169]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR abs/2206.07680 (2022) - [i168]Tailin Wu, Takashi Maruyama, Jure Leskovec:
Learning to Accelerate Partial Differential Equations via Latent Global Evolution. CoRR abs/2206.07681 (2022) - [i167]Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec:
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. CoRR abs/2206.15049 (2022) - [i166]Daniel Zeng, Tailin Wu, Jure Leskovec:
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. CoRR abs/2207.00590 (2022) - [i165]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR abs/2208.07239 (2022) - [i164]Qian Huang, Hongyu Ren, Jure Leskovec:
Few-shot Relational Reasoning via Connection Subgraph Pretraining. CoRR abs/2210.06722 (2022) - [i163]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec:
Human interaction networks reveal that large cities facilitate segregation. CoRR abs/2210.07414 (2022) - [i162]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR abs/2210.09338 (2022) - [i161]Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022) - [i160]Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec:
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR abs/2210.14843 (2022) - [i159]Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab:
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR abs/2210.17283 (2022) - [i158]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
Retrieval-Augmented Multimodal Language Modeling. CoRR abs/2211.12561 (2022) - [i157]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. CoRR abs/2212.03978 (2022) - [i156]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR abs/2212.06224 (2022) - 2021
- [j36]Róbert Pálovics, Primoz Dolenc, Jure Leskovec:
Companies under stress: the impact of shocks on the production network. EPJ Data Sci. 10(1): 57 (2021) - [j35]Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec:
Mobility network models of COVID-19 explain inequities and inform reopening. Nat. 589(7840): 82-87 (2021) - [j34]Robert West, Jure Leskovec, Christopher Potts:
Postmortem memory of public figures in news and social media. Proc. Natl. Acad. Sci. USA 118(38): e2106152118 (2021) - [j33]Aljaz Kosmerlj, Marko Grobelnik, Jure Leskovec:
Report on the 30th the web conference 2021 (TheWebConf2021). SIGIR Forum 55(1): 12:1-12:9 (2021) - [c213]Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. AAAI 2021: 10737-10745 - [c212]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. EMNLP (1) 2021: 7752-7763 - [c211]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Few-Shot Learning. ICLR 2021 - [c210]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. ICLR 2021 - [c209]Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann:
Language-Agnostic Representation Learning of Source Code from Structure and Context. ICLR 2021 - [c208]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. ICML 2021: 3294-3304 - [c207]Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - [c206]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou:
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML 2021: 8959-8970 - [c205]Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec:
Deception Detection in Group Video Conversations using Dynamic Interaction Networks. ICWSM 2021: 339-350 - [c204]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Multi-hop Attention Graph Neural Networks. IJCAI 2021: 3089-3096 - [c203]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [c202]Hongwei Wang, Hongyu Ren, Jure Leskovec:
Relational Message Passing for Knowledge Graph Completion. KDD 2021: 1697-1707 - [c201]Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec:
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD 2021: 2632-2642 - [c200]Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Bipartite Dynamic Representations for Abuse Detection. KDD 2021: 3638-3648 - [c199]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. NAACL-HLT 2021: 535-546 - [c198]Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec:
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. NeurIPS 2021: 12316-12327 - [c197]Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. NeurIPS 2021: 18539-18551 - [c196]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. NeurIPS Datasets and Benchmarks 2021 - [c195]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [c194]Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai:
Combiner: Full Attention Transformer with Sparse Computation Cost. NeurIPS 2021: 22470-22482 - [c193]Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. WSDM 2021: 589-597 - [c192]Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec:
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. WWW 2021: 693-705 - [e5]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7 [contents] - [e4]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8313-4 [contents] - [i155]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. CoRR abs/2101.05974 (2021) - [i154]Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. CoRR abs/2101.10320 (2021) - [i153]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. CoRR abs/2102.03526 (2021) - [i152]Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec:
Driver2vec: Driver Identification from Automotive Data. CoRR abs/2102.05234 (2021) - [i151]Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec:
Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR abs/2102.07077 (2021) - [i150]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021) - [i149]Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick:
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR abs/2103.01436 (2021) - [i148]Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec:
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. CoRR abs/2103.09430 (2021) - [i147]Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann:
Language-Agnostic Representation Learning of Source Code from Structure and Context. CoRR abs/2103.11318 (2021) - [i146]Robert West, Jure Leskovec, Christopher Potts:
Post-mortem memory of public figures in news and social media. CoRR abs/2103.15497 (2021) - [i145]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. CoRR abs/2104.06378 (2021) - [i144]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. CoRR abs/2106.05609 (2021) - [i143]Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec:
Deception Detection in Group Video Conversations using Dynamic Interaction Networks. CoRR abs/2106.06163 (2021) - [i142]Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai:
Combiner: Full Attention Transformer with Sparse Computation Cost. CoRR abs/2107.05768 (2021) - [i141]