GRAM: Graph-based Attention Model for Healthcare Representation Learning

21 November 2016

Jimeng Sun

Papers citing "GRAM: Graph-based Attention Model for Healthcare Representation Learning"

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Title
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism Yubo Li Xinyu Yao R. Padman FAtt AI4TS 54 0 0 25 Mar 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 192 0 0 15 Feb 2025
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases Chuang Zhao Hui Tang Jiheng Zhang Xiaomeng Li 37 0 0 23 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam Trung Quoc Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 39 2 0 07 Jan 2025
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang Cao Xiao Minhao Jiang Parminder Bhatia Taha A. Kass-Hout Jimeng Sun Jiawei Han RALM AI4MH 51 4 0 06 Oct 2024
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Zixiang Wang Yinghao Zhu Huiya Zhao Xiaochen Zheng Tianlong Wang ... Yasha Wang Ewen M. Harrison Junyi Gao Liantao Ma Liantao Ma 55 1 0 03 Oct 2024
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits Wangying Yang Zitao Zheng Shi Bo Zhizhong Wu Bo Zhang 40 11 0 08 Aug 2024
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation Heejoon Koo 48 0 0 28 Jul 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 50 4 0 16 Jun 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data Ziyang Zhang Hejie Cui Ran Xu Yuzhang Xie Joyce C. Ho Carl Yang CML 37 2 0 14 Jun 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 21 3 0 07 May 2024
Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction Shibo Li Hengliang Cheng Weihua Li 22 0 0 23 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph Fatemeh Nassajian Mojarrad Lorenzo Bini Thomas Matthes Stéphane Marchand-Maillet 27 1 0 28 Feb 2024
Knowledge-Induced Medicine Prescribing Network for Medication Recommendation A. Mulyadi Heung-Il Suk 34 1 0 23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 48 3 0 20 Oct 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 51 4 0 02 Aug 2023
DeepOnto: A Python Package for Ontology Engineering with Deep Learning Yuan He Jiaoyan Chen Hang Dong Ian Horrocks Carlo Allocca Taehun Kim B. Sapkota 24 23 0 06 Jul 2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis Changshuo Liu Wenqiao Zhang Beng Chin Ooi J. Yip Lingze Zeng Kaiping Zheng 14 1 0 10 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 18 17 0 07 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
KG-Hub -- Building and Exchanging Biological Knowledge Graphs J. H. Caufield Timothy Putman Kevin Schaper Deepak R. Unni Harshad B. Hegde ... M. Haendel Peter N. Robinson marcin p. joachimiak Christopher J. Mungall Justin P Reese 26 19 0 31 Jan 2023
Semantic Decomposition Improves Learning of Large Language Models on EHR Data David A. Bloore R. Gauriau Anna Decker Jacob Oppenheim 26 1 0 14 Nov 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 26 4 0 11 Oct 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
Modeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou Ahmad Pesaranghader Aman Verma David L. Buckeridge Yue Li 22 1 0 03 Jun 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering Xinyu Ma Xu Chu Yasha Wang Hailong Yu Liantao Ma Wen Tang Junfeng Zhao CML 25 1 0 21 Apr 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN C. Lu Chandan K. Reddy Ping Wang Dong Nie Yue Ning SyDa 40 26 0 10 Apr 2022
Enriching Unsupervised User Embedding via Medical Concepts Xiaolei Huang Franck Dernoncourt Mark Dredze 23 3 0 20 Mar 2022
Multimodal data matters: language model pre-training over structured and unstructured electronic health records Sicen Liu Xiaolong Wang Yongshuai Hou Ge Li Hui Wang Huiqin Xu Yang Xiang Buzhou Tang 52 30 0 25 Jan 2022
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records Shuai Niu Qing Yin Yunya Song Yike Guo Xian Yang 29 10 0 18 Jan 2022
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 21 78 0 02 Nov 2021
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus Sohrab Ferdowsi Nikolay Borissov J. Knafou P. Amini Douglas Teodoro 16 7 0 04 Oct 2021
Transfer Learning in Electronic Health Records through Clinical Concept Embedding J. R. A. Solares Yajie Zhu A. Hassaine Shishir Rao Yikuan Li M. Mamouei D. Canoy K. Rahimi G. Salimi-Khorshidi 34 6 0 27 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis Xianlong Zeng Simon M. Lin Chang Liu 25 6 0 23 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction Chang Lu Chandan K. Reddy Yue Ning 27 27 0 09 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 22 28 0 21 May 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare Chang Lu Chandan K. Reddy Prithwish Chakraborty Samantha Kleinberg Yue Ning 21 57 0 16 May 2021
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation Yang An Liang Zhang Mao You Xueqing Tian Bo Jin Xiaopeng Wei 6 18 0 22 Apr 2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data Tianfan Fu Kexin Huang Cao Xiao Lucas Glass Jimeng Sun 41 59 0 08 Feb 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 27 64 0 17 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 24 22 0 16 Dec 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 31 102 0 07 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 77 670 0 06 Nov 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 21 26 0 22 Oct 2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang Chengqi Zhang 14 15 0 24 Sep 2020
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation Yujia Zheng Siyi Liu Zekun Li Shu Wu 23 37 0 21 Sep 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020