Enhanced Soups for Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Zuber, Joseph, Sarkar, Aishwarya, Jennings, Joseph, Jannesari, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast MoE Inference via Predictive Prefetching and Expert Replication
by: Jyothish, Ankit, et al.
Published: (2026)
by: Jyothish, Ankit, et al.
Published: (2026)
NOMAD: Generating Embeddings for Massive Distributed Graphs
by: Sarkar, Aishwarya, et al.
Published: (2026)
by: Sarkar, Aishwarya, et al.
Published: (2026)
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
by: Sarkar, Aishwarya, et al.
Published: (2024)
by: Sarkar, Aishwarya, et al.
Published: (2024)
ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
by: Jafari, Sadegh, et al.
Published: (2025)
by: Jafari, Sadegh, et al.
Published: (2025)
Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning
by: Jyothish, Ankit, et al.
Published: (2025)
by: Jyothish, Ankit, et al.
Published: (2025)
HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction
by: Sarkar, Aishwarya, et al.
Published: (2025)
by: Sarkar, Aishwarya, et al.
Published: (2025)
Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents
by: Sarkar, Aishwarya, et al.
Published: (2026)
by: Sarkar, Aishwarya, et al.
Published: (2026)
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search
by: Yu, Sixing, et al.
Published: (2022)
by: Yu, Sixing, et al.
Published: (2022)
LEFL: Low Entropy Client Sampling in Federated Learning
by: Abebe, Waqwoya, et al.
Published: (2023)
by: Abebe, Waqwoya, et al.
Published: (2023)
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
by: Nguyen, Duy Phuong, et al.
Published: (2024)
by: Nguyen, Duy Phuong, et al.
Published: (2024)
Efficient Transition State Searches by Freezing String Method with Graph Neural Network Potentials
by: Marks, Jonah, et al.
Published: (2025)
by: Marks, Jonah, et al.
Published: (2025)
PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations
by: Dutta, Akash, et al.
Published: (2024)
by: Dutta, Akash, et al.
Published: (2024)
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
by: Gupta, Aishwarya, et al.
Published: (2024)
by: Gupta, Aishwarya, et al.
Published: (2024)
Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
by: Bhattacharjee, Subhasree, et al.
Published: (2024)
by: Bhattacharjee, Subhasree, et al.
Published: (2024)
Graphs Unveiled: Graph Neural Networks and Graph Generation
by: Kovács, László, et al.
Published: (2024)
by: Kovács, László, et al.
Published: (2024)
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
by: Aminbeidokhti, Masih, et al.
Published: (2025)
by: Aminbeidokhti, Masih, et al.
Published: (2025)
Learning Bug Context for PyTorch-to-JAX Translation with LLMs
by: Phan, Hung, et al.
Published: (2025)
by: Phan, Hung, et al.
Published: (2025)
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
by: He, Yuntian, et al.
Published: (2024)
by: He, Yuntian, et al.
Published: (2024)
Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
GraphPI: Efficient Protein Inference with Graph Neural Networks
by: Ma, Zheng, et al.
Published: (2026)
by: Ma, Zheng, et al.
Published: (2026)
Self-Soupervision: Cooking Model Soups without Labels
by: Fuller, Anthony, et al.
Published: (2026)
by: Fuller, Anthony, et al.
Published: (2026)
Split-on-Share: Mixture of Sparse Experts for Task-Agnostic Continual Learning
by: Siddika, Fatema, et al.
Published: (2026)
by: Siddika, Fatema, et al.
Published: (2026)
RADIN: Souping on a Budget
by: Menes, Thibaut, et al.
Published: (2024)
by: Menes, Thibaut, et al.
Published: (2024)
Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances
by: Musielewicz, Joseph, et al.
Published: (2024)
by: Musielewicz, Joseph, et al.
Published: (2024)
Distance-informed Neural Processes
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
by: Xie, Guofu, et al.
Published: (2025)
by: Xie, Guofu, et al.
Published: (2025)
Adaptive Node Feature Selection For Graph Neural Networks
by: Navarro, Madeline, et al.
Published: (2025)
by: Navarro, Madeline, et al.
Published: (2025)
Attacks on Node Attributes in Graph Neural Networks
by: Xu, Ying, et al.
Published: (2024)
by: Xu, Ying, et al.
Published: (2024)
GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes
by: Pivezhandi, Mohammad, et al.
Published: (2025)
by: Pivezhandi, Mohammad, et al.
Published: (2025)
Improving Robustness of Foundation Models in Domain Adaptation with Soup-Adapters
by: Roschkowski, Marco
Published: (2025)
by: Roschkowski, Marco
Published: (2025)
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF
by: Chegini, Atoosa, et al.
Published: (2024)
by: Chegini, Atoosa, et al.
Published: (2024)
Spectral Souping: A Unified Framework for Online Preference Alignment
by: Chow, Yinlam, et al.
Published: (2026)
by: Chow, Yinlam, et al.
Published: (2026)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
by: Yu, Sixing, et al.
Published: (2023)
by: Yu, Sixing, et al.
Published: (2023)
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
by: Nguyen, Duy Phuong, et al.
Published: (2025)
by: Nguyen, Duy Phuong, et al.
Published: (2025)
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
by: Sun, Shengyin, et al.
Published: (2025)
by: Sun, Shengyin, et al.
Published: (2025)
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
by: Rico, Julian Carvajal, et al.
Published: (2024)
by: Rico, Julian Carvajal, et al.
Published: (2024)
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
by: Wei, Cunyang, et al.
Published: (2026)
by: Wei, Cunyang, et al.
Published: (2026)
A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
by: James, Zachary, et al.
Published: (2025)
by: James, Zachary, et al.
Published: (2025)
The Effects of Multi-Task Learning on ReLU Neural Network Functions
by: Nakhleh, Julia, et al.
Published: (2024)
by: Nakhleh, Julia, et al.
Published: (2024)
Similar Items
-
Fast MoE Inference via Predictive Prefetching and Expert Replication
by: Jyothish, Ankit, et al.
Published: (2026) -
NOMAD: Generating Embeddings for Massive Distributed Graphs
by: Sarkar, Aishwarya, et al.
Published: (2026) -
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
by: Sarkar, Aishwarya, et al.
Published: (2024) -
ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
by: Jafari, Sadegh, et al.
Published: (2025) -
Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning
by: Jyothish, Ankit, et al.
Published: (2025)