消息
×
loading..
×
验证码:
换一张
忘记密码?
记住我
×
统一认证登录
登录
中文版
|
English
上海科技大学知识管理系统
ShanghaiTech University Knowledge Management System
统一认证登录
登录
注册
ALL
ORCID
题名
作者
发表日期
关键词
文献类型
DOI
出处
存缴日期
收录类别
出版者
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
学科分类
知识图谱
知识整合
学习讨论厅
在结果中检索
研究单元&专题
信息科学与技术学院 [45]
生物医学工程学院 [14]
更多...
作者
沈定刚 [12]
何旭明 [5]
石远明 [5]
周勇 [4]
王乾 [4]
万博 [3]
更多...
文献类型
会议论文 [33]
期刊论文 [22]
预印本 [3]
发表日期
2025 [7]
2024 [15]
2023 [11]
2022 [12]
2021 [9]
2020 [3]
更多...
出处
LECTURE NO... [8]
IEEE TRANS... [4]
Arxiv [3]
MEDICAL IM... [3]
IEEE TRANS... [2]
IEEE TRANS... [2]
更多...
语种
英语 [54]
资助项目
National N... [3]
China Post... [1]
Chinese Ac... [1]
Chinese In... [1]
General Re... [1]
Guangdong ... [1]
更多...
资助机构
收录类别
EI [54]
CPCI-S [16]
SCI [13]
CPCI [6]
SCIE [3]
SCOPUS [2]
更多...
×
知识图谱
KMS
反馈留言
浏览/检索结果:
共58条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
期刊影响因子升序
期刊影响因子降序
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
WOS被引频次升序
WOS被引频次降序
发表日期升序
发表日期降序
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data
期刊论文
MEDICAL IMAGE ANALYSIS, 2025, 卷号: 102
作者:
Adobe PDF(5127Kb)
|
收藏
|
浏览/下载:29/1
|
提交时间:2025/04/11
Adversarial machine learning
Contrastive Learning
Graph neural networks
Prediction models
Brain connectivity
Connectomics
Data scarcity
Graph neural networks
Learning frameworks
Longitudinal connectomic dataset
Multi-modal
Multimodal brain graph evolution prediction
Single-baseline
Trajectory prediction
DropNaE: Alleviating irregularity for large-scale graph representation learning
期刊论文
NEURAL NETWORKS, 2025, 卷号: 183
作者:
Liu, Xin
;
Xiong, Xunbin
;
Yan, Mingyu
;
Xue, Runzhen
;
Pan, Shirui
Adobe PDF(1802Kb)
|
收藏
|
浏览/下载:119/2
|
提交时间:2024/12/27
Adversarial machine learning
Federated learning
Graph algorithms
Knowledge graph
Algorithm on graph representation learning
Efficient large-scale graph representation learning
Graph neural networks
Graph representation
Irregularity
Large-scales
Neural networks trainings
Real-world graphs
Real-world scenario
Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2025, 卷号: 309
作者:
Chen, Dongdong
;
Liu, Mengjun
;
Wang, Sheng
;
Li, Zheren
;
Bai, Lu
Adobe PDF(2248Kb)
|
收藏
|
浏览/下载:69/2
|
提交时间:2025/02/12
Dynamic contrast enhanced MRI
Graph embeddings
Attention mechanisms
Brain connectivity
Brain disorders
Brain networks
Connectivity pattern
Effective connectivities
FMRI
Functional connectivity
Graph neural networks
Spatio-temporal graphs
Prediction of Solvate Based on Graph Attention Network
期刊论文
CRYSTAL GROWTH & DESIGN, 2025, 卷号: 25, 期号: 2
作者:
Sun, Shihui
;
Wang, Jian-Rong
;
Tang, Lei
;
Fan, Zhehuan
;
Li, Xutong
Adobe PDF(4799Kb)
|
收藏
|
浏览/下载:63/1
|
提交时间:2025/01/13
Physicochemical properties
Active pharmaceuticals ingredients
Attention mechanisms
Crystal properties
Crystallization process
Drug quality
Graph neural networks
Model-based OPC
Neural network model
Pharmaceutical development
Residual solvents
Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Macau, China, October 29, 2024 - October 31, 2024
作者:
Wu, Meng
;
Qiu, Jingkai
;
Yan, Mingyu
;
Li, Wenming
;
Zhang, Yang
收藏
|
浏览/下载:208/0
|
提交时间:2025/03/14
Computer graphics equipment - Digital storage - Graphics processing unit - Heterogeneous networks
Feature matrices - Graph neural networks - Heterogeneous graph - Heterogeneous graph neural network - Memory bounds - Neural networks trainings - Semantics Information - Single kernel - Structure information - Time bound
DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024
作者:
Liu, Jiameng
;
Pala, Furkan
;
Rekik, Islem
;
Shen, Dinggang
Adobe PDF(1654Kb)
|
收藏
|
浏览/下载:220/3
|
提交时间:2024/11/29
Adversarial machine learning
Contrastive Learning
Graph embeddings
Graph neural networks
Network embeddings
Network theory (graphs)
Clinical data
Diversity-based sampling
Efficient graph neural network learning
Embeddings
Graph neural networks
Hyperedges
Large-scales
Neural network learning
Subgraphs
Topology and embedding diversity
LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation
期刊论文
INFORMATION PROCESSING AND MANAGEMENT, 2025, 卷号: 62, 期号: 1
作者:
Jia, Haohe
;
Hou, Peng
;
Zhou, Yong
;
Zhu, Hongbin
;
Chai, Hongfeng
Adobe PDF(1539Kb)
|
收藏
|
浏览/下载:338/2
|
提交时间:2024/11/08
Adversarial machine learning
Federated learning
Computational costs
Cross-view
Dense matrix
Graph neural networks
Graph structures
High-accuracy
Interaction graphs
Learning methods
Matrix operations
Recommendation accuracy
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 12, 页码: 1-20
作者:
Chaoqi Chen
;
Yushuang Wu
;
Qiyuan Dai
;
Hong-Yu Zhou
;
Mutian Xu
Adobe PDF(3140Kb)
|
收藏
|
浏览/下载:389/61
|
提交时间:2024/08/26
Task analysis
Computer vision
Three-dimensional displays
Transformers
Point cloud compression
Visualization
Videos
Computer vision
graph transformers
graph neural networks
medical image analysis
point clouds and meshes
vision and language
Research on Enhanced Graph Neural Network for Automated Knowledge Graph Construction
会议论文
2024 5TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTER APPLICATION (ICMLCA), Hangzhou, China, 18-20 Oct. 2024
作者:
Qianyu Chen
Adobe PDF(774Kb)
|
收藏
|
浏览/下载:125/2
|
提交时间:2024/11/28
Graph algorithms
Graph neural networks
Neural network models
Attention mechanisms
Automated methods
Downstream applications
Graph construction
Graph neural networks
Knowledge graph construction
Knowledge graphs
Language processing
Natural languages
Process data
GNNDrive: Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
会议论文
ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, Gotland, Sweden, August 12, 2024 - August 15, 2024
作者:
Jiang, Qisheng
;
Jia, Lei
;
Wang, Chundong
Adobe PDF(1831Kb)
|
收藏
|
浏览/下载:320/3
|
提交时间:2024/09/20
Buffer storage
Memory management
Network theory (graphs)
Asynchronous I/O
Disk-based
Disk-based training
Graph neural networks
Higher dimensional features
I/O congestion
Large graphs
Memory contentions
Neural networks trainings
State of the art
首页
上一页
1
2
3
4
5
6
下一页
末页