{"total":19,"rows":[{"id":"2207.09179","title":"SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization","created":"2022-07-19","cited_by_count":19,"area":null},{"id":"2206.01379","title":"Instant Graph Neural Networks for Dynamic Graphs","created":"2022-06-03","cited_by_count":16,"area":null},{"id":"2402.06128","title":"Rethinking Node-wise Propagation for Large-scale Graph Learning","created":"2024-02-09","cited_by_count":16,"area":null},{"id":"2305.08273","title":"Decoupled Graph Neural Networks for Large Dynamic Graphs","created":"2023-05-14","cited_by_count":14,"area":null},{"id":"2305.09958","title":"SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation","created":"2023-05-17","cited_by_count":10,"area":null},{"id":"2406.05482","title":"Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks","created":"2024-06-08","cited_by_count":6,"area":null},{"id":"2406.09675","title":"A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness","created":"2024-06-14","cited_by_count":6,"area":null},{"id":"2310.11060","title":"Privacy-Preserving Graph Embedding based on Local Differential Privacy","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2508.19907","title":"GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2403.13268","title":"Unifews: You Need Fewer Operations for Efficient Graph Neural Networks","created":"2024-03-20","cited_by_count":2,"area":null},{"id":"2410.21634","title":"Faster Local Solvers for Graph Diffusion Equations","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2306.08967","title":"Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds","created":"2023-06-15","cited_by_count":1,"area":null},{"id":"2411.07123","title":"Fast and Robust Contextual Node Representation Learning over Dynamic Graphs","created":"2024-11-11","cited_by_count":1,"area":null},{"id":"2205.02998","title":"Optimal Propagation for Graph Neural Networks","created":"2022-05-06","cited_by_count":0,"area":null},{"id":"2405.04114","title":"Acceleration Algorithms in GNNs: A Survey","created":"2024-05-07","cited_by_count":0,"area":null},{"id":"2405.19649","title":"Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective","created":"2024-05-30","cited_by_count":0,"area":null},{"id":"2412.10789","title":"Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach","created":"2024-12-14","cited_by_count":0,"area":null},{"id":"2510.10105","title":"Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2601.11159","title":"Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs","created":"2026-01-16","cited_by_count":0,"area":null}],"next_cursor":null}