Network Analysis Resources & Updates

📃 A Comprehensive Survey on Graph Summarization with Graph Neural Networks 🗓 Publish year: 2024 📘Journal: IEEE Transactions on Artificial Intelligence (I.F= 7.25) 🧑‍💻Authors: Nasrin Shabani; Jia Wu; Amin Beheshti; Quan Z. Sheng; Jin Foo; Venus Haghighi; Ambree Hanif; Maryam Shahabikargar 🏢University: Macquarie University 🗺 Country: Australia 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #GNN #Graph_Summarization

📃A Comprehensive Survey on Graph Summarization with Graph Neural Networks 🗓 Publish year: 2023 📘Journal: IEEE Transactions on Artificial Intelligence 🧑‍💻Authors: Nasrin Shabani, Jia Wu Senior Member, IEEE, Amin Beheshti, Quan Z. Sheng Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar 🏢University: Macquarie University, NSW, Australia 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Summarization #GNN #Survey

📃 A Survey on Machine Learning Solutions for Graph Pattern Extraction 🗓 Publish year: 2022 🧑‍💻Authors:Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han 🏢University: g, Nanyang Technological University 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #Machine_learning #Pattern

📃 Graph Convolutional Neural Networks for Traffic Forecasting and Prediction: A Review 🗓 Publish year: 2024 📘Conference: AIP Conference Proceedings 🧑‍💻Authors: Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee 🏢University: Department of Computer Science & Engineering BIT Mesra, Ranchi, India 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GCN #Traffic_Forecasting #Prediction #Review

🎓Empowering Graph Neural Networks for Real-World Tasks 📘Doctoral thesis 🗓Publish year: 2024 🧑‍💻Author: Zhichun Guo 🏢University: University of Notre Dame, Indiana 📎Study Thesis 📱Channel: @ComplexNetworkAnalysis #Thesis #Empowering #GNN #Real_world

🎞Learning on Graphs Conference 2022 💥Learning on Graphs Conference is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality. 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Learning #Graph

🎓Deep learning for graph structured data 📘Doctoral thesis 🗓Publish year: 2024 🧑‍💻Author: Dwivedi Vijay Prakash 🏢University: Nanyang Technological University, Singapore 📎Study Thesis 📱Channel: @ComplexNetworkAnalysis #Thesis #Deep_learning #structured_data

📃 Graph Neural Networks Designed for Different Graph Types: A Survey 🗓 Publish year: 2023 🧑‍💻Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter 🏢University: University of Kassel, Germany 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Different #Types #Survey

📃A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications 🗓 Publish year: 2023 📘 Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2) 🧑‍💻Authors: Malihe Danesh، Morteza Dorrigiv, Farzin Yaghmaee 🏢Universities: University of Southern California, Institute for Infocomm Research (I2R) 🔸Country: 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #survey #clusterin

📃 Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities 🗓 Publish year: 2023 📘Journal: Transactions on Graph Data and Knowledge (TGDK) 🧑‍💻Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Škoda, Valentina Tamm 🏢Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, Université Côte d’Azur, Inria, Charles University, Prague, Czechia 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities

📃 A Survey on Graph Neural Networks for Microservice-Based Cloud Applications 🗓 Publish year: 2022 📘Journal: SENSORS-BASEL (I.F=3.9) 🧑‍💻Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu 🏢University: Dublin City University 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Microservice #Cloud #Applications #Survey

🎞Community detection (clustering network data) and modularity 💥Free recorded course by Prof. Samin Aref 💥Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions 📽 Watch 📲Channel: @ComplexNetworkAnalysis #video #Graph #Community_detection #modularity

📃 Emerging landscape of molecular interaction networks: Opportunities, challenges and prospects 🗓 Publish year: 2022 📘Journal: Journal of Biosciences 🧑‍💻Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka 🏢University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Emerging #landscape #molecular #Opportunities #challenges #prospects

📃 A Survey of Large Language Models for Graphs 🗓 Publish year: 2024 🧑‍💻Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang 🏢University: University of Hong Kong 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #LLM

📃 Graph Neural Network-based EEG Classification: A Survey 🗓 Publish year: 2023 🧑‍💻Authors: Dominik Klepl, Min Wu, and Fei He 🏢University: Coventry University 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #EEG #Classification #survey

📃 A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives 🗓 Publish year: 2023 🧑‍💻Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun 🏢University: ShanghaiTech Univ 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey

📃A Comprehensive Survey on Deep Graph Representation Learning 🗓 Publish year: 2023 📘 Journal: Journal of Artificial Intelligence Resea (I.F=5) 🧑‍💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah 🏢Universities: University of Electronic Science and Technology of China 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #GNN

📃 Graph Time-series Modeling in Deep Learning: A Survey 🗓 Publish year: 2024 📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6) 🧑‍💻Authors: Hongjie Che, Hoda Eldardiry 🏢University: Virginia Tech, USA 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Time_series #Deep_learning #survey

📃 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective 🗓 Publish year: 2022 📘Conference: International Joint Conference on Artificial Intelligence 🧑‍💻Authors: Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye,Dongrui Fan, Shirui Pan, Yuan Xie 🏢Universities: University of Chinese Academy of Sciences,Tsinghua University, Monash University, University of California 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Acceleration #Algorithmic #Perspective #survey