Copertina

Graph Metanetworks for Processing Diverse Neural Architectures

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lim, Derek, Maron, Haggai, Law, Marc T., Lorraine, Jonathan, Lucas, James
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
di: Lim, Derek, et al.
Pubblicazione: (2024)

Learning from Historical Activations in Graph Neural Networks
di: Galron, Yaniv, et al.
Pubblicazione: (2026)

GRANOLA: Adaptive Normalization for Graph Neural Networks
di: Eliasof, Moshe, et al.
Pubblicazione: (2024)

On the Internal Representations of Graph Metanetworks
di: Yeom, Taesun, et al.
Pubblicazione: (2025)

Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
di: Balaji, Vignesh, et al.
Pubblicazione: (2025)

GradMetaNet: An Equivariant Architecture for Learning on Gradients
di: Gelberg, Yoav, et al.
Pubblicazione: (2025)

Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization
di: Boufalis, Odysseas, et al.
Pubblicazione: (2025)

A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks
di: Bar-Shalom, Guy, et al.
Pubblicazione: (2026)

Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
di: Galron, Yaniv, et al.
Pubblicazione: (2025)

Future Directions in the Theory of Graph Machine Learning
di: Morris, Christopher, et al.
Pubblicazione: (2024)

Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
di: Putterman, Theo, et al.
Pubblicazione: (2024)

Improved Generalization of Weight Space Networks via Augmentations
di: Shamsian, Aviv, et al.
Pubblicazione: (2024)

Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
di: Liu, Yewei, et al.
Pubblicazione: (2025)

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
di: Mendelman, Harel, et al.
Pubblicazione: (2025)

Unified Sparse-Matrix Representations for Diverse Neural Architectures
di: Zhu, Yuzhou
Pubblicazione: (2025)

Neural Message-Passing on Attention Graphs for Hallucination Detection
di: Frasca, Fabrizio, et al.
Pubblicazione: (2025)

Graph Neural Architecture Search with GPT-4
di: Wang, Haishuai, et al.
Pubblicazione: (2023)

On the Expressive Power of Spectral Invariant Graph Neural Networks
di: Zhang, Bohang, et al.
Pubblicazione: (2024)

FnRGNN: Distribution-aware Fairness in Graph Neural Network
di: Park, Soyoung, et al.
Pubblicazione: (2025)

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
di: Bar-Shalom, Guy, et al.
Pubblicazione: (2024)

Spanning the Visual Analogy Space with a Weight Basis of LoRAs
di: Manor, Hila, et al.
Pubblicazione: (2026)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
di: Lagesse, Adrien, et al.
Pubblicazione: (2025)

Quantile-Free Uncertainty Quantification in Graph Neural Networks
di: park, Soyoung, et al.
Pubblicazione: (2026)

Multi-student Diffusion Distillation for Better One-step Generators
di: Song, Yanke, et al.
Pubblicazione: (2024)

Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
di: Gai, Jingchu, et al.
Pubblicazione: (2025)

NN-Former: Rethinking Graph Structure in Neural Architecture Representation
di: Xu, Ruihan, et al.
Pubblicazione: (2025)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
di: Zhang, Zeyang, et al.
Pubblicazione: (2024)

Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity
di: Sinha, Nilotpal, et al.
Pubblicazione: (2024)

Scale Equivariant Graph Metanetworks
di: Kalogeropoulos, Ioannis, et al.
Pubblicazione: (2024)

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
di: Gao, Xiaowei, et al.
Pubblicazione: (2023)

Causal-aware Graph Neural Architecture Search under Distribution Shifts
di: Li, Peiwen, et al.
Pubblicazione: (2024)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
di: Lischka, Attila, et al.
Pubblicazione: (2025)

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
di: Yang, Yikang, et al.
Pubblicazione: (2026)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
di: Chen, Su, et al.
Pubblicazione: (2025)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
di: Rao, Xuan, et al.
Pubblicazione: (2022)

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
di: Hwang, Dongyeong, et al.
Pubblicazione: (2024)

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
di: Song, Wenhao, et al.
Pubblicazione: (2025)

Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
di: Sundaram, Ganesh, et al.
Pubblicazione: (2025)

Using Large Language Models for Hyperparameter Optimization
di: Zhang, Michael R., et al.
Pubblicazione: (2023)

Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
di: Theisen, Maximilian F., et al.
Pubblicazione: (2025)