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GRAM: Graph-based Attention Model for Healthcare Representation Learning

GRAM: Graph-based Attention Model for Healthcare Representation Learning

21 November 2016
E. Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
    GNN
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Papers citing "GRAM: Graph-based Attention Model for Healthcare Representation Learning"

50 / 64 papers shown
Title
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
Yubo Li
Xinyu Yao
R. Padman
FAtt
AI4TS
52
0
0
25 Mar 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
150
0
0
15 Feb 2025
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
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
43
4
0
06 Oct 2024
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
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
52
1
0
03 Oct 2024
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Wangying Yang
Zitao Zheng
Shi Bo
Zhizhong Wu
Bo Zhang
32
11
0
08 Aug 2024
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Heejoon Koo
45
0
0
28 Jul 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
R. 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
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
34
2
0
14 Jun 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids
  Using Autoencoder Graph Convolutional Networks
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
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
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
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
Knowledge-Induced Medicine Prescribing Network for Medication Recommendation
A. Mulyadi
Heung-Il Suk
32
1
0
23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
41
3
0
20 Oct 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAML
GNN
45
4
0
02 Aug 2023
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
Yuan He
Jiaoyan Chen
Hang Dong
Ian Horrocks
Carlo Allocca
Taehun Kim
B. Sapkota
16
23
0
06 Jul 2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning
  Framework for Electronic Health Record Analysis
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
11
1
0
10 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with
  Meta-Learning
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
Zifeng Wang
Cao Xiao
Jimeng Sun
16
17
0
07 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
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
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
14
19
0
31 Jan 2023
Semantic Decomposition Improves Learning of Large Language Models on EHR
  Data
Semantic Decomposition Improves Learning of Large Language Models on EHR Data
David A. Bloore
R. Gauriau
Anna Decker
Jacob Oppenheim
21
1
0
14 Nov 2022
Knowledge-Driven New Drug Recommendation
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
18
4
0
11 Oct 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs
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
Modeling electronic health record data using a knowledge-graph-embedded topic model
Yuesong Zou
Ahmad Pesaranghader
Aman Verma
David L. Buckeridge
Yue Li
12
1
0
03 Jun 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health
  Representation Learning via Feature Clustering
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
Enriching Unsupervised User Embedding via Medical Concepts
Enriching Unsupervised User Embedding via Medical Concepts
Xiaolei Huang
Franck Dernoncourt
Mark Dredze
15
3
0
20 Mar 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
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
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
Classification of hierarchical text using geometric deep learning: the
  case of clinical trials corpus
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
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
26
6
0
27 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
107
0
01 Jul 2021
Transformer-based unsupervised patient representation learning based on
  medical claims for risk stratification and analysis
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng
Simon M. Lin
Chang Liu
17
6
0
23 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal
  Health Event Prediction
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
Chang Lu
Chandan K. Reddy
Yue Ning
22
27
0
09 Jun 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event
  Prediction in Healthcare
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
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
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
Tianfan Fu
Kexin Huang
Cao Xiao
Lucas Glass
Jimeng Sun
23
59
0
08 Feb 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
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
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime
  Prediction
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
Yeasir Rayhan
T. Hashem
21
22
0
16 Dec 2020
Graph Kernels: State-of-the-Art and Future Challenges
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
101
0
07 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
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
53
669
0
06 Nov 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced
  Data
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen
Junjie Liang
Fenglong Ma
Lucas Glass
Jimeng Sun
Cao Xiao
19
26
0
22 Oct 2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical
  Outcomes
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
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
Self-supervised edge features for improved Graph Neural Network training
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
18
6
0
23 Jun 2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Junyi Gao
Cao Xiao
Lucas Glass
Jimeng Sun
20
64
0
15 Jun 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
Language Models Are An Effective Patient Representation Learning
  Technique For Electronic Health Record Data
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
E. Steinberg
Kenneth Jung
Jason Alan Fries
Conor K. Corbin
Stephen R. Pfohl
N. Shah
21
103
0
06 Jan 2020
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
42
154
0
18 Nov 2019
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for
  Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing
  Environments
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments
Shreshth Tuli
Nipam Basumatary
S. Gill
M. Kahani
R. Arya
G. Wander
Rajkumar Buyya
24
476
0
15 Nov 2019
Feature Robustness in Non-stationary Health Records: Caveats to
  Deployable Model Performance in Common Clinical Machine Learning Tasks
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
Bret A. Nestor
Matthew B. A. McDermott
Willie Boag
G. Berner
Tristan Naumann
Michael C. Hughes
Anna Goldenberg
Marzyeh Ghassemi
OOD
11
109
0
02 Aug 2019
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