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Showing posts older than #1300 · Back to latest

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Post #1299 731
📑Explaining the Explainers in Graph Neural Networks: a Comparative Study

📕 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025

🧑‍💻Authors: Antonio Longa, Steve Azzolin, Gabriele Santin, ...
🏢Universities: University of Trento, Italy - Cambridge University, UK

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⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
  • 👍 1
Post #1297 886
2023_A_Survey_of_Large_scale_Complex_Information_Network_Representation.pdf4.2 MB
📃A Survey of Large-scale Complex Information Network Representation Learning Methods

🗓 Publish year: 2023
📘Conference: Consumer Electronics and Computer Engineering (ICCECE)

🧑‍💻Authors: Xiaoxian Zhang
🏢Universities: School of Computer Technology and Engineering Changchun Institute of Technology, Changchun, China

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📱Channel: @ComplexNetworkAnalysis
#paper #Large_scale #Complex #Information #Representation_Learning #survey
Post #1296 842
📃 Methods of decomposition theory and graph labeling in the study of social network structure

🗓 Publish year: 2024

🧑‍💻Authors: L Hulianytskyi, M Semeniuta, S Yakymenko
🏢Universities: Prospekt Universytetskyi,Ukraine

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⚡️Channel: @ComplexNetworkAnalysis
#review #graph_labling #decomposition
  • ❤ 1
  • 👍 1
Post #1295 1.44K
📑A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges

📕 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025

🧑‍💻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
Post #1294 1.36K
📃Bibliometric and visualized analysis of social network analysis research on Scopus databases and VOSviewer

🗓 Publish year: 2024
📘Journal: Cogent Business & Management (I.F=3)

🧑‍💻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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📱Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #Scopus #VOSviewer
  • 👍 2
Post #1293 837
📚 A curated list of awesome network analysis resources
💥 GitBook website

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⚡️Channel: @ComplexNetworkAnalysis
#github #graph #visualization #book
Post #1291 1.28K
📃Counterfactual Learning on Graphs: A Survey

🗓 Publish year: 2025
📘Journal: Machine Intelligence Research

🧑‍💻Authors: Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal , Hui Liu, Suhang Wang
🏢Universities: Pennsylvania State University, Watson Research Center

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📲Channel: @ComplexNetworkAnalysis
#paper #Counterfactual #Survey
Post #1290 756
📄 Graph Data Management and Graph Machine Learning: Synergies and Opportunities

🗓 Publish year: 2025

🧑‍💻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
  • 👍 1
Post #1289 752
📃Stochastic Block Models for Complex Network Analysis: A Survey

🗓 Publish year: 2024
📘Journal: ACM Transactions on Knowledge Discovery from Data (I.F=4)

🧑‍💻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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📱Channel: @ComplexNetworkAnalysis
#paper #Stochastic #Block #review
Post #1287 889
🎞 Machine Learning with Graphs: design space of graph neural networks

💥Free recorded course by Prof. Jure Leskovec

💥 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 “Is 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

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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
arXiv.org Design Space for Graph Neural Networks The rapid evolution of Graph Neural Networks (GNNs) has led to a growing number of new architectures as well as novel applications. However, current research focuses on proposing and evaluating...
Post #1283 835
Link_Prediction_in_Social_Networks_A_Review.pdf243.8 KB
📃Link Prediction in Social Networks: A Review

🗓 Publish year: 2024
📘Conference: 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP)

🧑‍💻Authors: Meghana Sreeya Veeramallu, Harshitha Reddy Mallu, Ramadasu B
🏢Universities: Chaitanya Bharathi Institute of Technology, India

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📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #review
  • 👍 1
Post #1281 784

Forwarded from Bioinformatics

🎬 Inferring Biological Networks
💥 from Claudia Solis-Lemus, Wisconsin Institutes for Discovery, UW-Madison

🎞 Watch

📲Channel: @Bioinformatics
#video #network
YouTube Claudia Solis-Lemus: Inferring Biological Networks UW-Madison, Wisconsin Evolution, Evolution Seminar Series https://evolution.wisc.edu/seminars/seminars-info/ https://evolution.wisc.edu Claudia Solis-Lemus, Assistant Professor, Department of Plant Pathology and Wisconsin Institutes for Discovery, UW-Madison…
Post #1280 1.24K
📄 Systematic Review of Fake News, Propaganda, and Disinformation: Examining Authors, Content, and Social Impact through Machine Learning

📗 Journal: IEEE ACCESS (I.F.=3.4)
🗓 Publish year: 2025

🧑‍💻Authors: D. Plikynas, I. Rizgelienė, G. Korvel,...
🏢University: Vilnius university, Vilnius, Lithuania

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⚡️Channel: @ComplexNetworkAnalysis
#review #fake_news
Post #1279 776
📃A Survey on Graph Neural Networks and its Applications in Various Domains

🗓Publish year: 2025

🧑‍💻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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📲Channel: @ComplexNetworkAnalysis
#Paper #Survey #GNN #Application
  • 👍 1
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