Výsledky vyhledávání

SP-GNN: Learning structure and position information from graphs

Autor: Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu

Publikováno v: Neural Networks. 161:505-514

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2c4663b2c698af1850fc9b18bba430a
https://doi.org/10.1016/j.neunet.2023.01.051

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Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning

Autor: Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan Chen

ObjectiveTo determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4fd4dabecdd37e117cd7f4d2b7df832
https://doi.org/10.1101/2022.11.21.22282571

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Identity-aware Graph Neural Networks

Autor: Jiaxuan You, Jonathan M Gomes-Selman, Rex Ying, Jure Leskovec

Message passing Graph Neural Networks (GNNs) provide a powerful modeling framework for relational data. However, the expressive power of existing GNNs is upper-bounded by the 1-Weisfeiler-Lehman (1-WL) graph isomorphism test, which means GNNs that ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::813ccc8ee385c1eed8bef57e10b8d38c
http://arxiv.org/abs/2101.10320

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Inductive Learning on Commonsense Knowledge Graph Completion

Autor: Bin Wang, Jing Huang, Guangtao Wang, Jiaxuan You, C.-C. Jay Kuo, Jure Leskovec

Publikováno v: IJCNN

Commonsense knowledge graph (CKG) is a special type of knowledge graph (KG), where entities are composed of free-form text. However, most existing CKG completion methods focus on the setting where all the entities are presented at training time. Alth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::322cd32f9e03a42eb0a88e23a698b739
http://arxiv.org/abs/2009.09263

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Redundancy-Free Computation for Graph Neural Networks

Autor: Sina Lin, Zhihao Jia, Rex Ying, Jure Leskovec, Jiaxuan You, Alex Aiken

Publikováno v: KDD

Graph Neural Networks (GNNs) are based on repeated aggregations of information from nodes' neighbors in a graph. However, because nodes share many neighbors, a naive implementation leads to repeated and inefficient aggregations and represents signifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::176d08b80f935f8c9b9eec9a42c293aa
https://doi.org/10.1145/3394486.3403142

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G2SAT: Learning to Generate SAT Formulas

Autor: Jiaxuan, You, Haoze, Wu, Clark, Barrett, Raghuram, Ramanujan, Jure, Leskovec

Publikováno v: Advances in neural information processing systems. 32

The Boolean Satisfiability (SAT) problem is the canonical NP-complete problem and is fundamental to computer science, with a wide array of applications in planning, verification, and theorem proving. Developing and evaluating practical SAT solvers re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d6ca52a09ab9ea4c2114cbee0efff688
https://pubmed.ncbi.nlm.nih.gov/32265581

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Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

Autor: Jure Leskovec, Aditya Pal, Yichen Wang, Pong Eksombatchai, Chuck Rosenburg, Jiaxuan You

Publikováno v: WWW

Recommender systems that can learn from cross-session data to dynamically predict the next item a user will choose are crucial for online platforms. However, existing approaches often use out-of-the-box sequence models which are limited by speed and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7bb97ecb95d2c6af65da5ca8038b79
https://doi.org/10.1145/3308558.3313747

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Travel modal choice analysis for traffic corridors based on decision-theoretic approaches

Autor: Jianming Hu, Yi Zhang, Jiaxuan You, Wei Guo, Xin Pei

Publikováno v: Journal of Central South University. 23:3028-3039

The rapid development of multimodal transportation system prompts travellers to choose multiple transportation modes, such as private vehicles or taxi, transit (subways or buses), or park-and-ride combinations for urban trips. Traffic corridor is a m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c92c2a3c5ad139cf98f51aef65584f81
https://doi.org/10.1007/s11771-016-3366-8

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An effective simulation model for multi-line metro systems based on origin-destination data

Autor: Jianming Hu, Yi Zhang, Wei Guo, Jiaxuan You

Publikováno v: ITSC

Metro systems are playing an increasing role in modern cities, and various management solutions are proposed to improve their efficiency. When analyzing the effects of those solutions, simulation proves to be an effective and cost-saving method. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce94f4ac03675d995cf6feb6da2b162f
https://doi.org/10.1109/itsc.2016.7795578

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