{"total":25,"rows":[{"id":"2110.08727","title":"Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation","created":"2021-10-17","cited_by_count":152,"area":null},{"id":"2205.07424","title":"Trustworthy Graph Neural Networks: Aspects, Methods and Trends","created":"2022-05-16","cited_by_count":89,"area":null},{"id":"2210.05801","title":"Linkless Link Prediction via Relational Distillation","created":"2022-10-11","cited_by_count":39,"area":null},{"id":"2211.00216","title":"Distributed Graph Neural Network Training: A Survey","created":"2022-11-01","cited_by_count":32,"area":null},{"id":"2304.10668","title":"Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs","created":"2023-04-20","cited_by_count":29,"area":null},{"id":"2110.11024","title":"Watermarking Graph Neural Networks based on Backdoor Attacks","created":"2021-10-21","cited_by_count":25,"area":null},{"id":"2304.14593","title":"Deep Graph Reprogramming","created":"2023-04-28","cited_by_count":22,"area":null},{"id":"2310.04987","title":"Data-centric Graph Learning: A Survey","created":"2023-10-08","cited_by_count":22,"area":null},{"id":"2207.08629","title":"Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks","created":"2022-07-18","cited_by_count":18,"area":null},{"id":"2301.12230","title":"Continual Graph Learning: A Survey","created":"2023-01-28","cited_by_count":18,"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":"2303.11183","title":"Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning","created":"2023-03-20","cited_by_count":10,"area":null},{"id":"2308.13982","title":"Universal Graph Continual Learning","created":"2023-08-27","cited_by_count":9,"area":null},{"id":"2409.06748","title":"EasyST: A Simple Framework for Spatio-Temporal Prediction","created":"2024-09-10","cited_by_count":6,"area":null},{"id":"2412.11180","title":"TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation","created":"2024-12-15","cited_by_count":5,"area":null},{"id":"2502.19252","title":"GraphBridge: Towards Arbitrary Transfer Learning in GNNs","created":"2025-02-26","cited_by_count":4,"area":null},{"id":"2312.05479","title":"Exploring Sparsity in Graph Transformers","created":"2023-12-09","cited_by_count":3,"area":null},{"id":"2312.09086","title":"COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems","created":"2023-12-14","cited_by_count":3,"area":null},{"id":"2203.08390","title":"Reducing Flipping Errors in Deep Neural Networks","created":"2022-03-16","cited_by_count":2,"area":null},{"id":"2304.06038","title":"Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2309.03523","title":"DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks","created":"2023-09-07","cited_by_count":1,"area":null},{"id":"2506.08602","title":"WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks","created":"2025-06-10","cited_by_count":1,"area":null},{"id":"2405.03401","title":"E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification","created":"2024-05-06","cited_by_count":0,"area":null},{"id":"2506.03674","title":"Out-of-Distribution Graph Models Merging","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2605.06814","title":"Model-to-Data Distillation for Graph Neural Networks","created":"2026-05-07","cited_by_count":0,"area":null}],"next_cursor":null}