{"total":31,"rows":[{"id":"2111.04964","title":"On Representation Knowledge Distillation for Graph Neural Networks","created":"2021-11-09","cited_by_count":38,"area":"distill"},{"id":"2302.00219","title":"Knowledge Distillation on Graphs: A Survey","created":"2023-02-01","cited_by_count":38,"area":"distill"},{"id":"2308.02117","title":"VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs","created":"2023-08-04","cited_by_count":35,"area":"distill"},{"id":"2306.05628","title":"Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs","created":"2023-06-09","cited_by_count":25,"area":"distill"},{"id":"2210.13014","title":"Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks","created":"2022-10-24","cited_by_count":22,"area":"distill"},{"id":"2402.12022","title":"Distilling Large Language Models for Text-Attributed Graph Learning","created":"2024-02-19","cited_by_count":20,"area":"distill"},{"id":"2406.01032","title":"LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning","created":"2024-06-03","cited_by_count":17,"area":"distill"},{"id":"2311.17373","title":"The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation","created":"2023-11-29","cited_by_count":16,"area":"distill"},{"id":"2210.05920","title":"Boosting Graph Neural Networks via Adaptive Knowledge Distillation","created":"2022-10-12","cited_by_count":14,"area":"distill"},{"id":"2210.09609","title":"SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP","created":"2022-10-18","cited_by_count":12,"area":"distill"},{"id":"2501.10459","title":"Efficient Traffic Prediction Through Spatio-Temporal Distillation","created":"2025-01-15","cited_by_count":12,"area":"distill"},{"id":"2403.03483","title":"A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation","created":"2024-03-06","cited_by_count":8,"area":"distill"},{"id":"2303.13763","title":"Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs","created":"2023-03-24","cited_by_count":7,"area":"distill"},{"id":"2210.02097","title":"Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification","created":"2022-10-05","cited_by_count":6,"area":"distill"},{"id":"2210.02099","title":"Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation","created":"2022-10-05","cited_by_count":6,"area":"distill"},{"id":"2302.14643","title":"Graph-based Knowledge Distillation: A survey and experimental evaluation","created":"2023-02-27","cited_by_count":6,"area":"distill"},{"id":"2405.14307","title":"AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation","created":"2024-05-23","cited_by_count":6,"area":"distill"},{"id":"2406.19832","title":"MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification","created":"2024-06-28","cited_by_count":5,"area":"distill"},{"id":"2407.14768","title":"Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation","created":"2024-07-20","cited_by_count":4,"area":"distill"},{"id":"2307.06631","title":"Frameless Graph Knowledge Distillation","created":"2023-07-13","cited_by_count":2,"area":"distill"},{"id":"2512.00366","title":"S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting","created":"2025-11-29","cited_by_count":2,"area":"distill"},{"id":"2307.00534","title":"Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation","created":"2023-07-02","cited_by_count":1,"area":"distill"},{"id":"2311.17781","title":"Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs","created":"2023-11-29","cited_by_count":1,"area":"distill"},{"id":"2412.16502","title":"Spatial-Temporal Knowledge Distillation for Takeaway Recommendation","created":"2024-12-21","cited_by_count":1,"area":"distill"},{"id":"2507.19031","title":"ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs","created":"2025-07-25","cited_by_count":1,"area":"distill"},{"id":"2601.08033","title":"InfGraND: An Influence-Guided GNN-to-MLP Knowledge Distillation","created":"2026-01-12","cited_by_count":1,"area":"distill"},{"id":"2311.11759","title":"Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs","created":"2023-11-20","cited_by_count":0,"area":"distill"},{"id":"2403.01079","title":"Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework","created":"2024-03-02","cited_by_count":0,"area":"distill"},{"id":"2504.06193","title":"Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction","created":"2025-04-08","cited_by_count":0,"area":"distill"},{"id":"2509.00560","title":"Efficient Graph Knowledge Distillation from GNNs to Kolmogorov--Arnold Networks via Self-Attention Dynamic Sampling","created":"2025-08-30","cited_by_count":0,"area":"distill"},{"id":"2510.19223","title":"Enhancing Graph Neural Networks: A Mutual Learning Approach","created":"2025-10-22","cited_by_count":0,"area":"distill"}],"next_cursor":null}