# Survey

- [2206.07743] Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
- [2205.15555] Graph-level Neural Networks: Current Progress and Future Directions
- [2201.12884] A Theoretical Comparison of Graph Neural Network Extensions
- [2204.07697] Theory of Graph Neural Networks: Representation and Learning
- [2205.07424] Trustworthy Graph Neural Networks: Aspects, Methods and Trends
- [2204.08570] A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
- [2101.11174] Graph Neural Network for Traffic Forecasting: A Survey
- [2101.04562] Hyperbolic Deep Neural Networks: A Survey
- [2103.03036] A Survey on Graph Structure Learning: Progress and Opportunities
- Graph Neural Networks: Taxonomy, Advances, and Trends
- Combinatorial optimization with physics-inspired graph neural networks | Nature Machine Intelligence
- Graph Learning: A Survey | IEEE Journals & Magazine | IEEE Xplore
- CSUR Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
- TPAMI Self-Supervised Learning of Graph Neural Networks: A Unified Review | IEEE Journals & Magazine | IEEE Xplore
- TKDE Graph Self-Supervised Learning: A Survey | IEEE Journals & Magazine | IEEE Xplore

# Spectral

- [1907.12972] Transferability of Spectral Graph Convolutional Neural Networks
- [2205.11172] How Powerful are Spectral Graph Neural Networks
- [2012.06660] Understanding Spectral Graph Neural Network
- Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective | OpenReview