Top Tweets for #graphconvolutionalnetwork
🏆 Top Cited Paper in Issue 3 (2025) in MAKE
A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction
📖 Read more:
https://t.co/fJZhBxDZAo
#AirPollutionPrediction #GraphConvolutionalNetwork
📢 #highlycited paper
📚 Pathological Gait Classification Using Early and #LateFusion of #FootPressure and Skeleton Data
🔗 https://t.co/3WiQ1YI3BM
👨🔬 by Muhammad Tahir Naseem et al.
🏫 Yeungnam University
#deeplearning #graphconvolutionalnetwork
📢 #highlycited paper
📚 #EEG #EmotionClassification Based on #GraphConvolutionalNetwork
🔗 https://t.co/xL9rCzreuD
👨🔬 by Zhiqiang Fan et al.
🏫 Artificial Intelligence Institute of China Electronics Technology Group Corporation/Beijing Institute of System Engineering/Beihang University
#electroencephalogram #deeplearning
#Article
📜 A Soft Sensor Model for Predicting the Flow of a Hydraulic Pump Based on Graph Convolutional Network–Long Short-Term Memory
by Shengfei Ji, et al.
https://t.co/G56XyfP7wr
#softsensor #graphconvolutionalnetwork #longshorttermmemory #hydraulicpump #flowprediction
Check this newly published article "#GraphConvolutionalNetwork with Multi-View Topology for Lightweight Skeleton-Based #ActionRecognition" at https://t.co/10iSVCHGlw
Authors: Liangliang Wang, Xu Zhang and Chuang Zhang
#mdpisymmetry
@ComSciMath_Mdpi
Interest-Aware Message-Passing Layer-Refined #GraphConvolutionalNetwork for Recommendation
✏️ Xingyao Yang, Jinchen Wu and Jiong Yu
🔗 https://t.co/N6TLxJlKin
Viewed: 2534; Cited: 3
#mdpisymmetry #recommendersystems
📢 Welcome to read the most cited papers of the Future Internet in the Last 6 months:
Top 9️⃣: Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion
Citations: 3
https://t.co/7vGKPRB5wo
#graphconvolutionalnetwork #GCN
@ComSciMath_Mdpi
🔥 Read our Highly Cited Paper
📚 A #GraphConvolutionalNetwork Based on #SentimentSupport for Aspect-Level #SentimentAnalysis
🔗 https://t.co/6dWWoWaxDk
👨🔬 Ruiding Gao et al.
🏫 Hunan University of Science and Technology / Jingchu University of Technology
#attentionmechanisms
#Article
📜 A Soft Sensor Model for Predicting the Flow of a Hydraulic Pump Based on Graph Convolutional Network–Long Short-Term Memory
by Shengfei Ji, et al.
https://t.co/G56XyfOzGT
#softsensor #graphconvolutionalnetwork #longshorttermmemory #hydraulicpump #flowprediction
🔥 Read our Paper
📚 Graph Convolutional #Network #SurrogateModel for Mesh-Based Structure-Borne #Noise #Simulation
🔗 https://t.co/788R4KeN8J
👨🔬 by Mr. Sang-Yun Lee and Prof. Dr. Sang-Kwon Lee
🏫 INHA University
#graphconvolutionalnetwork
🔥 Read our Paper
📚 A Graph Convolutional Network Based on #Sentiment Support for Aspect-Level Sentiment Analysis
🔗 https://t.co/TJ9sXc2TWf
👨🔬 by Mr. Ruiding Gao et al.
🏫 Hunan University of Science and Technology
#GraphConvolutionalNetwork
🔔 New Published Papers of #MDPIfutureinternet
Title: Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion
Please read at: https://t.co/7vGKPRB5wo
#graphconvolutionalnetwork #GCN
🥳Today Research Article,
Topic: Industrial big data analysis strategy based on automatic data classification and interpretable knowledge graph
From Northeastern University
https://t.co/xuwPJYKMYF
#BigData, #PropertyPrediction, #PhysicalMetallurgy, #GraphConvolutionalNetwork
🔥 Read our Paper
📚 Affective-Knowledge-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Analysis with Multi-Head Attention
🔗 https://t.co/LhNqNT4QYS
👨🔬 by Xiaodong Cui et al.
#graphconvolutionalnetwork
🔥 Read our Highly Cited Paper
📚Prediction of Water Leakage in Pipeline Networks Using Graph Convolutional Network Method
🔗https://t.co/L7oTE4kljS
👨🔬 by Dr. Ersin Şahin et al.
#graphconvolutionalnetwork #graphmachinelearning
#HighlyCitedPaper
Fusion Graph Representation of EEG for Emotion Recognition
https://t.co/sByO6hYrR1
#emotionrecognition; #EEG; #graphconvolutionalnetwork
Learn how to apply a Multi-layer Graph Convolutional Network (GCN) for tasks like node classification and link prediction. Check out @wildanaziz's insightful overview for a step-by-step breakdown. #GraphConvolutionalNetwork #GCN #DataScience https://t.co/eCwz1tLtTc
#mostcited
🚦Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from #GPS Data
by Haiqiang Yang, Xinming Zhang, Zihan Li and Jianxun Cui
https://t.co/iDKxMXNp85
#GraphConvolutionalNetwork
#highlycitedpaper
An Attention-Enhanced Multi-Scale and Dual Sign Language Recognition Network Based on a Graph Convolution Network
https://t.co/ckrGienzRU
#signlanguagerecognition #graphconvolutionalnetwork
#highlycitedpaper
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
https://t.co/IXD97LphZE
#affordancegrasping #graspingpointdetection #graphconvolutionalnetwork #deeplearning
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