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πŸ“ƒUnderstanding When and Why Graph Attention Mechanisms Work via Node Classification

πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Didier A. Vega-Oliveros, Alneu de Andrade Lopes, Lilian Berton
🏒University: Northwestern Polytechnical University, Shanghai Artificial Intelligence Laboratory, Shanghai Jiaotong University

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πŸ“²Channel: @ComplexNetworkAnalysis
#Paper #GAT #Attention #node_classification
πŸ“ƒA comprehensive survey on graph neural network accelerators

πŸ—“ Publish year: 2025
πŸ“˜
Journal: Frontiers of Computer Science (I.F=3.4)

πŸ§‘β€πŸ’»Authors: Jingyu LIU, Shi CHEN, Li SHEN
🏒Universities: School of Computer, National University of Defense Technology, Changsha 410073, China

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #survey
πŸ“„ A comprehensive bibliometric analysis on social network anonymization: current approaches and future directions

πŸ“• Journal: Knowledge and Information System (I.F.=2.5)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Navid Yazdanjue, Hossein Yazdanjouei, Hassan Gharoun,...
🏒University:
- University of Technology Sydney, Ultimo, Australia
- Urmia University, Urmia &Iran University of Science and Technology, Iran

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⚑️Channel: @ComplexNetworkAnalysis
#review #anonymization
πŸ“ƒA Survey on Graph Neural Networks and its Applications in Various Domains

πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Tejaswini R. Murgod, P. Srihith Reddy, Shamitha Gaddam, S. Meenakshi Sundaram & C. Anitha
🏒University: BNM Institute of Technology, NITTE Meenakshi Institute of Technology,

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πŸ“²Channel: @ComplexNetworkAnalysis
#Paper #Survey #GNN #Application
πŸ“„ Systematic Review of Fake News, Propaganda, and Disinformation: Examining Authors, Content, and Social Impact through Machine Learning

πŸ“— Journal: IEEE ACCESS (I.F.=3.4)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: D. Plikynas, I. RizgelienΔ—, G. Korvel,...
🏒University: Vilnius university, Vilnius, Lithuania

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⚑️Channel: @ComplexNetworkAnalysis
#review #fake_news
Link_Prediction_in_Social_Networks_A_Review.pdf
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πŸ“ƒLink Prediction in Social Networks: A Review

πŸ—“ Publish year: 2024
πŸ“˜
Conference: 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP)

πŸ§‘β€πŸ’»Authors: Meghana Sreeya Veeramallu, Harshitha Reddy Mallu, Ramadasu B
🏒Universities: Chaitanya Bharathi Institute of Technology, India

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #review
🎞 Machine Learning with Graphs: design space of graph neural networks

πŸ’₯Free recorded course by Prof. Jure Leskovec

πŸ’₯ This part discussed the important topic of GNN architecture design. Here, we introduce 3 key aspects in GNN design: (1) a general GNN design space, which includes intra-layer design, inter-layer design and learning configurations; (2) a GNN task space with similarity metrics so that we can characterize different GNN tasks and, therefore, transfer the best GNN models across tasks; (3) an effective GNN evaluation technique so that we can convincingly evaluate any GNN design question, such as β€œIs BatchNorm generally useful for GNNs?”. Overall, we provide the first systematic investigation of general guidelines for GNN design, understandings of GNN tasks, and how to transfer the best GNN designs across tasks. We release GraphGym as an easy-to-use code platform for GNN architectural design. More information can be found in the paper: Design Space for Graph Neural Networks

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
πŸ“ƒStochastic Block Models for Complex Network Analysis: A Survey

πŸ—“ Publish year: 2024
πŸ“˜
Journal: ACM Transactions on Knowledge Discovery from Data (I.F=4)

πŸ§‘β€πŸ’»Authors: Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Yang Li, Xuehua Zhao, Bo Yang
🏒Universities: Jilin University, Northeast Normal University, University of Technology Sydney, Aviation University of Air Force, Shenzhen Institute of Information Technology, Jilin University

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Stochastic #Block #review
πŸ“„ Graph Data Management and Graph Machine Learning: Synergies and Opportunities

πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Arijit Kha, Xiangyu Ke, Yinghui Wu
🏒University:
- Aalborg University, Denmark
- Zhejiang University, China

- Case Western Reserve University, USA

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⚑️Channel: @ComplexNetworkAnalysis
#review #graph #machine_learning #data_management
πŸ“ƒCounterfactual Learning on Graphs: A Survey

πŸ—“ Publish year: 2025
πŸ“˜Journal: Machine Intelligence Research

πŸ§‘β€πŸ’»Authors: Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal , Hui Liu, Suhang Wang
🏒Universities: Pennsylvania State University, Watson Research Center

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Counterfactual #Survey
πŸ“š A curated list of awesome network analysis resources
πŸ’₯ GitBook website

🌐 Study

⚑️Channel: @ComplexNetworkAnalysis
#github #graph #visualization #book
πŸ“ƒBibliometric and visualized analysis of social network analysis research on Scopus databases and VOSviewer

πŸ—“ Publish year: 2024
πŸ“˜
Journal: Cogent Business & Management (I.F=3)

πŸ§‘β€πŸ’»Authors: Dyah gandasari, David tjahjana, Diena Dwidienawati and Mochamad Sugiarto

🏒Universities: Polbangtan Bogor, Bogor, indonesia; universitas Multimedia nusantara, Jakarta, indonesia; Business Management, BinusBusiness school, Bina nusantara university, Jakarta, indonesia; Faculty of animal science, Jendral soedirman university,indonesia

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #Scopus #VOSviewer
πŸ“‘A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges

πŸ“• Journal: ACM Computing Surveys (πŸ”₯I.F.=23.8)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Qiang He, Songyangjun Zhang, Yuliang Cai, ...
🏒Universities:
▫️Northeastern University-Liaoning University
-The First Hospital of China Medical University, China
▫️Waseda University, Japan

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⚑️Channel: @ComplexNetworkAnalysis
#review #rumor
πŸ“ƒ Methods of decomposition theory and graph labeling in the study of social network structure

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: L Hulianytskyi, M Semeniuta, S Yakymenko
🏒Universities: Prospekt Universytetskyi,Ukraine

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⚑️Channel: @ComplexNetworkAnalysis
#review #graph_labling #decomposition
2025/06/26 14:39:16
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