π Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
π Publish year: 2025
π§βπ»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
π’Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
π Publish year: 2025
π§βπ»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
π’Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
π2
π A Survey of Link Prediction in Temporal Networks
π Publish year: 2025
π§βπ»Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
π’Universities: University of Manchester & University of Sheffield, UK
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
π Publish year: 2025
π§βπ»Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
π’Universities: University of Manchester & University of Sheffield, UK
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
π2β€1
πΉ Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
YouTube
Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
This lecture explains the fundamental concepts of transitivity, global and local clustering coefficients, and structural holes in social network analysis. Using intuitive explanations and practical social media examples, the video explains how these measuresβ¦
π1
π Deep graph anomaly detection: A survey and new perspectives
π Publish year: 2025
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
π§βπ»Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
π’Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #anomaly #deep
π Publish year: 2025
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
π§βπ»Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
π’Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #anomaly #deep
π1
Forwarded from Bioinformatics
π A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
πPublish year: 2025
π§βπ»Authors: Katherine Berry and Liang Cheng
π’University: University of Toledo, USA
π Study the paper
π²Channel: @Bioinformatics
#review #gnn #drug
πPublish year: 2025
π§βπ»Authors: Katherine Berry and Liang Cheng
π’University: University of Toledo, USA
π Study the paper
π²Channel: @Bioinformatics
#review #gnn #drug
π2
πΉ Spectral Graph Theory For Dummies
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #spectral
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #spectral
YouTube
Spectral Graph Theory For Dummies
To try everything Brilliant has to offerβfreeβfor a full 30 days, visit https://brilliant.org/Ron . Youβll also get 20% off an annual premium subscription.
This video was sponsored by Brilliant.
---
References:
1. Cornell University Lecture Note: https:β¦
This video was sponsored by Brilliant.
---
References:
1. Cornell University Lecture Note: https:β¦
β€3
π Graph Attention Networks: A Comprehensive Review of Methods and Applications
π Publish year: 2025
πJournal: Future Internet (I.F. = 3.6)
π§βπ»Authors: Aristidis G. Vrahatis,Konstantinos Lazaros & Sotiris Kotsiantis
π’Universities: Ionian University & University of Patras, Greece
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #attention
π Publish year: 2025
πJournal: Future Internet (I.F. = 3.6)
π§βπ»Authors: Aristidis G. Vrahatis,Konstantinos Lazaros & Sotiris Kotsiantis
π’Universities: Ionian University & University of Patras, Greece
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #attention
π2
π Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review
π Publish year: 2025
πJournal: Discover Oncology (I.F. = 2.9)
π§βπ»Authors: Xiaodan Shao, Na Wang, Ke Tang, Kunning Wang,...
π’Universities: University of South China & Hengyang Medical School, University of South China, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #cancer #chemotherapy
π Publish year: 2025
πJournal: Discover Oncology (I.F. = 2.9)
π§βπ»Authors: Xiaodan Shao, Na Wang, Ke Tang, Kunning Wang,...
π’Universities: University of South China & Hengyang Medical School, University of South China, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #cancer #chemotherapy
π2β€1
πAn Overview of Heterogeneous Social Network Analysis
π Publish year: 2025
πJournal: WIREs Data Mining and Knowledge Discovery (I.F=11.7 )
π§βπ»Authors: Deepti Singh, Ankita Verma
π’Universities: Jaypee Institute of Information Technology (Deemed University), Noida, Uttar Pradesh, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous
π Publish year: 2025
πJournal: WIREs Data Mining and Knowledge Discovery (I.F=11.7 )
π§βπ»Authors: Deepti Singh, Ankita Verma
π’Universities: Jaypee Institute of Information Technology (Deemed University), Noida, Uttar Pradesh, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous
π3
π½ Introduction to Graph Theory: A Computer Science Perspective
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #basics
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #basics
YouTube
Introduction to Graph Theory: A Computer Science Perspective
In this video, I introduce the field of graph theory. We first answer the important question of why someone should even care about studying graph theory through an application perspective. Afterwards, we introduce definitions and essential terminology inβ¦
β€1π1
πBasic issues and challenges of statistical network analysis
π Publish year: 2025
πJournal: Communications for Statistical Applications and Methods (I.F=0.6)
π§βπ»Authors: Jaehee Kim
π’University: Duksung Womenβs University, Korea
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #issues #challenges #statistical
π Publish year: 2025
πJournal: Communications for Statistical Applications and Methods (I.F=0.6)
π§βπ»Authors: Jaehee Kim
π’University: Duksung Womenβs University, Korea
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #issues #challenges #statistical
π1
πTrustworthy GNNs with LLMs: A Systematic Review and Taxonomy
π Publish year: 2025
π§βπ»Authors: Ruizhan Xue, Huimin Deng, Fang He, Maojun Wang, Zeyu Zhang
π’University: Huazhong Agricultural University
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Trustworthy #GNN #LLM #Taxonomy #Review
π Publish year: 2025
π§βπ»Authors: Ruizhan Xue, Huimin Deng, Fang He, Maojun Wang, Zeyu Zhang
π’University: Huazhong Agricultural University
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Trustworthy #GNN #LLM #Taxonomy #Review
π2