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Cost-Effective Label-free Node Classification with LLMs
会议论文
SIGIR 2025
作者:
Zhang, Taiyan
;
Yang, Renchi
;
Yan, Mingyu
;
Ye, Xiaochun
;
Fan, Dongrui
Adobe PDF(1156Kb)
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收藏
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浏览/下载：12/3
|
提交时间：2025/03/19
Graph Neural Network
Label-free Node
Large Language Models
Classification
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)
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收藏
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浏览/下载：114/2
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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
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
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浏览/下载：104/0
|
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
Cost-Effective Label-free Node Classification with LLMs
预印本
2024
作者:
Zhang, Taiyan
;
Yang, Renchi
;
Yan, Mingyu
;
Ye, Xiaochun
;
Fan, Dongrui
Adobe PDF(1156Kb)
|
收藏
|
浏览/下载：14/1
|
提交时间：2025/02/12
Graph Neural Network
Label-free Node
Large Language Models
Classification
Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels
预印本
2024
作者:
Wu, Meng
;
Qiu, Jingkai
;
Yan, Mingyu
;
Li, Wenming
;
Zhang, Yang
Adobe PDF(1373Kb)
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收藏
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浏览/下载：213/0
|
提交时间：2024/09/02
HGNNs
GPU
Acceleration
JPlace: A Clock-Aware Length-Matching Placement for Rapid Single-Flux-Quantum Circuits
会议论文
2024 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), Valencia, Spain, 25-27 March 2024
作者:
Siyan Chen
;
Rongliang Fu
;
Junying Huang
;
Zhimin Zhang
;
Xiaochun Ye
Adobe PDF(654Kb)
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收藏
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浏览/下载：214/0
|
提交时间：2024/06/17
Alignment
Computation theory
Computer circuits
Computing power
Dynamic programming
Heuristic methods
Timing circuits
Computing technology
Length matching
Low-power consumption
Placement
Rapid single flux quantum circuits
Rapid single-flux quantum logic
Rapid single-flux-quantum
Superconducting logic
Timing alignment
Wire length
A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
预印本
2023
作者:
Lv, Zhengyang
;
Yan, Mingyu
;
Liu, Xin
;
Dong, Mengyao
;
Ye, Xiaochun
Adobe PDF(1648Kb)
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收藏
|
浏览/下载：128/0
|
提交时间：2024/06/03
Graph pre-processing
traditional graph computing
graph neural net-works
hardware acceleration
JRouter: A Multi-Terminal Hierarchical Length-Matching Router under Planar Manhattan Routing Model for RSFQ Circuits
会议论文
PROCEEDINGS OF THE ACM GREAT LAKES SYMPOSIUM ON VLSI, GLSVLSI, Knoxville, TN, United states, June 5, 2023 - June 7, 2023
作者:
Chen, Xinda
;
Fu, Rongliang
;
Huang, Junying
;
Cao, Huawei
;
Zhang, Zhimin
Adobe PDF(1863Kb)
|
收藏
|
浏览/下载：329/0
|
提交时间：2023/07/14
Computation theory
Computer circuits
Energy efficiency
Timing circuits
Length matching
Manhattan routing
Multi terminals
Rapid single flux quantum circuits
Rapid single-flux quantum logic
Rapid single-flux-quantum
Routing model
Routings
Rsfq
Superconducting logic
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
预印本
2022
作者:
Liu, Xin
;
Xiong, Xunbin
;
Yan, Mingyu
;
Xue, Runzhen
;
Pan, Shirui
Adobe PDF(761Kb)
|
收藏
|
浏览/下载：129/0
|
提交时间：2024/01/09
graph neural networks
efficiency
redundancy
graph sampling
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