LightHGNN: Distilling Hypergraph Neural Networks into MLPs for $100\times$ Faster Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Yifan, Luo, Yihe, Ying, Shihui, Gao, Yue |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks
by: Dang, Tien, et al.
Published: (2025)
by: Dang, Tien, et al.
Published: (2025)
ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
by: Huang, Xiaobao, et al.
Published: (2025)
by: Huang, Xiaobao, et al.
Published: (2025)
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Generalization Performance of Hypergraph Neural Networks
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Hypergraph Foundation Model
by: Gao, Yue, et al.
Published: (2025)
by: Gao, Yue, et al.
Published: (2025)
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
by: Xue, Runzhen, et al.
Published: (2024)
by: Xue, Runzhen, et al.
Published: (2024)
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
by: Liu, Yunhui, et al.
Published: (2024)
by: Liu, Yunhui, et al.
Published: (2024)
Resilience Inference for Supply Chains with Hypergraph Neural Network
by: Shen, Zetian, et al.
Published: (2025)
by: Shen, Zetian, et al.
Published: (2025)
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
by: Kim, Sunwoo, et al.
Published: (2024)
by: Kim, Sunwoo, et al.
Published: (2024)
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
by: Zhang, Xiong, et al.
Published: (2024)
by: Zhang, Xiong, et al.
Published: (2024)
SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition
by: Lei, Mengqi, et al.
Published: (2025)
by: Lei, Mengqi, et al.
Published: (2025)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
by: Zhou, Ziang, et al.
Published: (2024)
by: Zhou, Ziang, et al.
Published: (2024)
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
by: Qin, Zongyue, et al.
Published: (2025)
by: Qin, Zongyue, et al.
Published: (2025)
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
by: Ahn, Seong Jin, et al.
Published: (2025)
by: Ahn, Seong Jin, et al.
Published: (2025)
Bayesian Inference with Shaped Deep Non-linear MLPs
by: Hanin, Boris, et al.
Published: (2026)
by: Hanin, Boris, et al.
Published: (2026)
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
by: Sriramulu, Abishek, et al.
Published: (2024)
by: Sriramulu, Abishek, et al.
Published: (2024)
SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)
by: Duta, Iulia, et al.
Published: (2024)
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
Implicit Hypergraph Neural Network
by: Choudhuri, Akash, et al.
Published: (2025)
by: Choudhuri, Akash, et al.
Published: (2025)
VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns
by: Pang, Lin, et al.
Published: (2025)
by: Pang, Lin, et al.
Published: (2025)
HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems
by: Chen, Qiyue, et al.
Published: (2025)
by: Chen, Qiyue, et al.
Published: (2025)
BG-HGNN: Toward Efficient Learning for Complex Heterogeneous Graphs
by: Su, Junwei, et al.
Published: (2024)
by: Su, Junwei, et al.
Published: (2024)
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2025)
by: Li, Boyuan, et al.
Published: (2025)
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
by: Wu, Taiqiang, et al.
Published: (2023)
by: Wu, Taiqiang, et al.
Published: (2023)
Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)
by: Li, Mengfan, et al.
Published: (2024)
Characterizing and Understanding HGNN Training on GPUs
by: Han, Dengke, et al.
Published: (2024)
by: Han, Dengke, et al.
Published: (2024)
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks
by: Anticev, John, et al.
Published: (2024)
by: Anticev, John, et al.
Published: (2024)
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation
by: Liu, Yunhui, et al.
Published: (2025)
by: Liu, Yunhui, et al.
Published: (2025)
FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity
by: Yang, Jianchuan, et al.
Published: (2026)
by: Yang, Jianchuan, et al.
Published: (2026)
Interpolated-MLPs: Controllable Inductive Bias
by: Wu, Sean, et al.
Published: (2024)
by: Wu, Sean, et al.
Published: (2024)
Converting MLPs into Polynomials in Closed Form
by: Belrose, Nora, et al.
Published: (2025)
by: Belrose, Nora, et al.
Published: (2025)
Faster Verified Explanations for Neural Networks
by: De Palma, Alessandro, et al.
Published: (2025)
by: De Palma, Alessandro, et al.
Published: (2025)
Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks
by: Breslow, Nathan
Published: (2025)
by: Breslow, Nathan
Published: (2025)
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces
by: Gouraud, Nicolaï, et al.
Published: (2026)
by: Gouraud, Nicolaï, et al.
Published: (2026)
MLPs at the EOC: Spectrum of the NTK
by: Terjék, Dávid, et al.
Published: (2025)
by: Terjék, Dávid, et al.
Published: (2025)
MLPs at the EOC: Concentration of the NTK
by: Terjék, Dávid, et al.
Published: (2025)
by: Terjék, Dávid, et al.
Published: (2025)
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
Similar Items
-
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
by: Wang, Shuai, et al.
Published: (2024) -
EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks
by: Dang, Tien, et al.
Published: (2025) -
ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
by: Huang, Xiaobao, et al.
Published: (2025) -
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
by: Yang, Murong, et al.
Published: (2025) -
Generalization Performance of Hypergraph Neural Networks
by: Wang, Yifan, et al.
Published: (2025)