{"total":15,"rows":[{"id":"2205.07424","title":"Trustworthy Graph Neural Networks: Aspects, Methods and Trends","created":"2022-05-16","cited_by_count":89,"area":null},{"id":"2312.08656","title":"MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training","created":"2023-12-14","cited_by_count":25,"area":null},{"id":"2203.03606","title":"I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization","created":"2022-03-07","cited_by_count":21,"area":null},{"id":"2306.14052","title":"A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware","created":"2023-06-24","cited_by_count":18,"area":null},{"id":"2112.11594","title":"GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design","created":"2021-12-22","cited_by_count":13,"area":null},{"id":"2209.14065","title":"LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics","created":"2022-09-28","cited_by_count":12,"area":null},{"id":"2303.10875","title":"Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms","created":"2023-03-20","cited_by_count":12,"area":null},{"id":"2201.01288","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","created":"2022-01-04","cited_by_count":9,"area":null},{"id":"2307.08065","title":"MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment","created":"2023-07-16","cited_by_count":9,"area":null},{"id":"2304.11835","title":"Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence","created":"2023-04-24","cited_by_count":5,"area":null},{"id":"2404.05605","title":"Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems","created":"2024-04-08","cited_by_count":5,"area":null},{"id":"2502.06921","title":"GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2206.08258","title":"ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics","created":"2022-06-16","cited_by_count":0,"area":null},{"id":"2408.12840","title":"HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices","created":"2024-08-23","cited_by_count":0,"area":null},{"id":"2501.01951","title":"MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators","created":"2025-01-03","cited_by_count":0,"area":null}],"next_cursor":null}