01Research activity
Graph Neural Networks research by ScholarsColab researchers
What researchers combine with Graph Neural Networks
Words that appear most often in these paper titles. Tap one to see those papers.
Recent focus (2024 onwards): detection, enhancing, model, optimization, prediction.
02Researchers
PhD researchers working on Graph Neural Networks
Every researcher below is registered on ScholarsColab and can be hired as a mentor or for a project. Publication counts are their papers on this topic.
03Papers
Research papers on Graph Neural Networks
- Graph neural networks for graphs with heterophily: A survey2026468 citationsIEEE Transactions on Knowledge and Data EngineeringYi Wang
- Multi-level graph neural network for text sentiment analysis202184 citationsComputers and Electrical EngineeringXiaochun Cheng
- Natural language processing using graph neural network for text classification202251 citationsDimitrios A Karras
- Study-GNN: a novel pipeline for student performance prediction based on multi-topology graph neural networks202246 citationsSustainabilityYi Wang
- Enhancing text classification by graph neural networks with multi-granular topic-aware graph202336 citationsIEEE AccessYi Wang
- Modelling social context for fake news detection: a graph neural network based approach202228 citationsMohendra Roy
- Taxi demand forecasting based on the temporal multimodal information fusion graph neural network: W. Liao et al.202225 citationsApplied IntelligenceXiaochun Cheng
- EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher–student mechanisms for graph node classification20259 citationsNeurocomputingAbdul Joseph Fofanah
- Enhancing the accuracy in food image recognition using recurrent neural network model in comparison with graph neural network model20246 citationsDr Gnanajeyaraman Rajaram
- Distributed Deep Reinforcement Learning with Graph Neural Networks for Personalized Drug Interaction Analysis20235 citationsNarayan Vyas
- Enhanced Potato Leaf Disease Detection through Multi-Modal Fusion of Graph Neural Networks and ResNet1820244 citationsDr. Abhishek Bajpai
- Contextual Internet of Things Intrusion Detection: A Sliding Window Convolutional Neural Network–Gated Recurrent Unit Model Enhanced by Graph Neural Networks20254 citationsCureus JournalsRamya Chinnasamy
- Enhancing Social Media Sarcasm Detection Using Chicken Swarm Optimization and Graph Neural Networks20243 citationsUdham Singh
- Prevention of Data Privacy and Recommendations using Federated Graph Neural Network20242 citationsDr Shweta Goyal
- The Impact of Digital Twin in Industry 4.0 Using Graph Neural Network: An Approach to Explainability in the Manufacturing Industry20251 citationsDistributed Deep Learning and Explainable AI (XAI) in IndustryP. Jayadharshini
- Comparative Analysis of Heap Algorithms for Anomaly Localization in Dynamic Graph Neural Networks20250 citationsKazi Redwan
- Predictive Analytics for Smart City Resource Optimization Using Graph Neural Networks20250 citationsMohit Tiwari
- Deep Learning and Reinforcement Learning for Proactive Ransomware Detection: A Behavioral-Attention Graph Neural Network Approach20250 citationsDr Senthil Kumar P
- Synchronous Emotional Dynamics in Human-AI Collaborative Networks: A Temporal Graph Neural Network Approach20260 citationsRAJKUMAR YESURAJ
- An attention-guided graph neural network and U-Net++-based reservoir porosity prediction system20250 citationsJournal of Seismic ExplorationTianwen Zhao
- Global crude oil trade flow prediction based on graph neural networks20250 citationsTianwen Zhao
- Accelerated Discovery of 2D OptoelectronicMaterials via Interpretable Graph Neural Networks and High Throughput DFT Screening20250 citationsMohamed Salem
- Hybrid physics-informed deep learning with explainable graph neural networks for climate-driven biodiversity forecasting: A multi-scale approach0 citationsMohamed Salem
- Graph Neural Networks-Guided Code Optimization System for Software Performance Enhancement20250 citationsB Harichandana
- G4Edu: Explainable Graph Neural Network (GNN) Model for Student Academic Performance Prediction with GraphLIME and GNNExplainer20260 citationsDr R A Thakur
04Journals
Journals that publish Graph Neural Networks research
Where our researchers published their papers on this topic, with each journal’s indexing.
| Journal | Indexing | Impact factor* | Papers |
|---|---|---|---|
| Neurocomputing | SCIEScopusJCR 2024 | 5.45 Q2 | 1 |
| Cureus Journals | Not listed in our indexing lists | – | 1 |
| Journal of Seismic Exploration | SCIEScopusJCR 2024 | 0.21 Q4 | 1 |
| Computers and Electrical Engineering | SCIEScopusJCR 2024 | 7.60 Q1 | 1 |
| Applied Intelligence | SCIEScopusJCR 2024 | 4.61 Q2 | 1 |
| Distributed Deep Learning and Explainable AI (XAI) in Industry | Not listed in our indexing lists | – | 1 |
| IEEE Transactions on Knowledge and Data Engineering | SCIEScopusJCR 2024 | 10.6 Q1 | 1 |
| Sustainability | SCIESSCIScopusJCR 2024 | 5.84 Q1 | 1 |
| IEEE Access | SCIEScopusJCR 2024 | 6.50 Q1 | 1 |
*Impact factor and quartile calculated from OpenAlex open data where available; official Journal Impact Factors are published by Clarivate. Indexing from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists. Find the right journal for your own paper →
05Top 2% scientists
World’s Top 2% scientists in Artificial Intelligence & Image Processing
The Stanford/Elsevier World’s Top 2% Scientists list ranks researchers by a composite citation indicator. Artificial Intelligence & Image Processing is the research subfield closest to Graph Neural Networks in that list; 10,979 researchers from 94 countries are listed in it.
| Researcher | Institution | Country | World rank |
|---|---|---|---|
| Bengio, Yoshua | Montreal Institute for Learning Algorithms | Canada | 34 |
| Zadeh, Lotfi A. | University of California, Berkeley | United States | 36 |
| Hinton, Geoffrey E. | University of Toronto | Canada | 40 |
| Jain, Anil K. | Michigan State University | United States | 55 |
| Mirjalili, Seyedali | Torrens University Australia | Australia | 86 |
| Xu, Zeshui | Sichuan University | China | 110 |
| Yager, Ronald R. | Iona College | United States | 113 |
| van der Aalst, Wil M.P. | Rheinisch-Westfälische Technische Hochschule Aachen | Germany | 169 |
| Deb, Kalyanmoy | Department of Computer Science | United States | 198 |
| Schmidhuber, Jürgen U. | King Abdullah University of Science and Technology | Saudi Arabia | 230 |
| Girshick, Ross B. | Vercept | India | 297 |
| Yang, Xin She | Middlesex University | United Kingdom | 357 |
Source: Elsevier Data Repository, Ioannidis et al., 2026 edition, citations to the end of 2025 (career-long ranking). ScholarsColab is not affiliated with Stanford University or Elsevier, and the researchers listed are not ScholarsColab mentors unless marked so above.
06Related topics
Topics related to Graph Neural Networks
Topics that share the most papers with Graph Neural Networks in our researchers’ work:
- Neural Network819 papers · 267 researchers
- Reinforcement Learning (RL)105 papers · 62 researchers
- Deep Learning (DL)968 papers · 331 researchers
07Questions
Frequently asked questions
What do researchers study in Graph Neural Networks?
In papers by ScholarsColab researchers, Graph Neural Networks appears most often together with detection, prediction, enhancing, text, classification, student. Work since 2024 focuses most on detection, enhancing, model, optimization.
Who works on Graph Neural Networks research?
21 PhD researchers on ScholarsColab have published on Graph Neural Networks (25 papers), including Yi Wang, Xiaochun Cheng, Tianwen Zhao. Each has a public profile with their Google Scholar publications, and you can hire them as a mentor or for a research project.
Which journals publish Graph Neural Networks research?
Our researchers published their Graph Neural Networks papers in 9 journals, most often in Neurocomputing, Cureus Journals, Journal of Seismic Exploration, Computers and Electrical Engineering. The journal table on this page shows the indexing of each one (SCIE, Scopus, ESCI).
How many research papers on Graph Neural Networks are on ScholarsColab?
25 papers published between 2021 and 2026, cited 772 times in total (median 3 citations per paper). The list updates automatically as researchers join and publish.
Can I hire a PhD expert in Graph Neural Networks for my thesis or paper?
Yes. Open any researcher profile on this page to see their publications, then post your project or hire them directly. For a paper you have already written, a Manuscript Audit by a reviewer in Graph Neural Networks shows what to fix before you submit, and Journal Selection shortlists up to five journals that match it.
Need a PhD expert in Graph Neural Networks?
Hire a researcher who has published on this topic to guide your thesis or project, or get your manuscript audited and matched to the right journal before you submit.
