{"total":16,"rows":[{"id":"2406.08993","title":"Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification","created":"2024-06-13","cited_by_count":85,"area":null},{"id":"2505.10960","title":"Relational Graph Transformer","created":"2025-05-16","cited_by_count":34,"area":null},{"id":"2407.09777","title":"Graph Transformers: A Survey","created":"2024-07-13","cited_by_count":32,"area":null},{"id":"2404.17169","title":"FairGT: A Fairness-aware Graph Transformer","created":"2024-04-26","cited_by_count":29,"area":null},{"id":"2502.10444","title":"A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision","created":"2025-02-11","cited_by_count":24,"area":null},{"id":"2506.16654","title":"Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures","created":"2025-06-19","cited_by_count":23,"area":null},{"id":"2308.11129","title":"Enhancing Graph Transformers with Hierarchical Distance Structural Encoding","created":"2023-08-22","cited_by_count":16,"area":null},{"id":"2312.11109","title":"Graph Transformers for Large Graphs","created":"2023-12-18","cited_by_count":10,"area":null},{"id":"2406.15852","title":"Next Level Message-Passing with Hierarchical Support Graphs","created":"2024-06-22","cited_by_count":5,"area":null},{"id":"2406.12059","title":"A Scalable and Effective Alternative to Graph Transformers","created":"2024-06-17","cited_by_count":4,"area":null},{"id":"2603.16849","title":"GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators","created":"2026-03-17","cited_by_count":4,"area":null},{"id":"2403.15480","title":"SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention","created":"2024-03-21","cited_by_count":3,"area":null},{"id":"2511.13010","title":"Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs","created":"2025-11-17","cited_by_count":3,"area":null},{"id":"2506.14098","title":"Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2405.10642","title":"Hi-GMAE: Hierarchical Graph Masked Autoencoders","created":"2024-05-17","cited_by_count":1,"area":null},{"id":"2603.22854","title":"Avoiding Over-smoothing in Social Media Rumor Detection with Pre-trained Propagation Tree Transformer","created":"2026-03-24","cited_by_count":0,"area":null}],"next_cursor":null}