📃 Explainability in Graph Neural Networks: A Taxonomic Survey
📘 Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
🗓 Publish year: 2022
🧑💻Authors: Hao Yuan, Haiyang Yu, Shurui Gui, and Shuiwang Ji
🏢University: Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #Explainability #GNN #Taxonomic #Survey
📘 Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
🗓 Publish year: 2022
🧑💻Authors: Hao Yuan, Haiyang Yu, Shurui Gui, and Shuiwang Ji
🏢University: Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #Explainability #GNN #Taxonomic #Survey
👍3👏1
📑Can Graph Neural Networks be Adequately Explained? A Survey
📗 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025
🧑💻Authors: Xuyan Li, Jie Wang, Zheng Yan
🏢University: Xidian University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #gnn #explainability
📗 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025
🧑💻Authors: Xuyan Li, Jie Wang, Zheng Yan
🏢University: Xidian University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #gnn #explainability
📑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
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
📕 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
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
👍1
📃A Review of Link Prediction Algorithms in Dynamic Networks
📗 Journal: Mathematics (I.F.=2.3)
🗓 Publish year: 2025
🧑💻Authors: Mengdi Sun, Minghu Tang
🏢Universities: Qinghai Minzu University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
📗 Journal: Mathematics (I.F.=2.3)
🗓 Publish year: 2025
🧑💻Authors: Mengdi Sun, Minghu Tang
🏢Universities: Qinghai Minzu University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
👍1
📃Information diffusion analysis: process, model, deployment, and application
📗 Journal:The Knowledge Engineering Review (I.F.=2.8)
🗓 Publish year: 2025
🧑💻Authors: Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, ...
🏢Universities: Thapar Institute of Engineering & Technology, Bennett University, India
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
📗 Journal:The Knowledge Engineering Review (I.F.=2.8)
🗓 Publish year: 2025
🧑💻Authors: Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, ...
🏢Universities: Thapar Institute of Engineering & Technology, Bennett University, India
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
📄 Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
👍2