Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study
Fuente:
arXiv
Saved in:
| Main Authors: | Deng, Gangda, Yang, Yuxin, Akgül, Ömer Faruk, Zeng, Hanqing, Xia, Yinglong, Kannan, Rajgopal, Prasanna, Viktor |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
by: Akgül, Ömer Faruk, et al.
Published: (2024)
by: Akgül, Ömer Faruk, et al.
Published: (2024)
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
by: Akgül, Ömer Faruk, et al.
Published: (2025)
by: Akgül, Ömer Faruk, et al.
Published: (2025)
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
by: Deng, Gangda, et al.
Published: (2024)
by: Deng, Gangda, et al.
Published: (2024)
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
by: Deng, Gangda, et al.
Published: (2024)
by: Deng, Gangda, et al.
Published: (2024)
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)
by: Akgül, Ömer Faruk, et al.
Published: (2025)
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
by: Akgül, Ömer Faruk, et al.
Published: (2026)
by: Akgül, Ömer Faruk, et al.
Published: (2026)
TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
by: Wang, Ta-Yang, et al.
Published: (2026)
by: Wang, Ta-Yang, et al.
Published: (2026)
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation
by: Ye, Tian, et al.
Published: (2024)
by: Ye, Tian, et al.
Published: (2024)
Do LLM-derived graph priors improve multi-agent coordination?
by: Gupta, Nikunj, et al.
Published: (2026)
by: Gupta, Nikunj, et al.
Published: (2026)
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say
by: Fein-Ashley, Jacob, et al.
Published: (2025)
by: Fein-Ashley, Jacob, et al.
Published: (2025)
SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)
by: Yang, Yuxin, et al.
Published: (2026)
Studying the Effects of Self-Attention on SAR Automatic Target Recognition
by: Fein-Ashley, Jacob, et al.
Published: (2024)
by: Fein-Ashley, Jacob, et al.
Published: (2024)
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback
by: Fein-Ashley, Jacob, et al.
Published: (2024)
by: Fein-Ashley, Jacob, et al.
Published: (2024)
Mixture of Weak & Strong Experts on Graphs
by: Zeng, Hanqing, et al.
Published: (2023)
by: Zeng, Hanqing, et al.
Published: (2023)
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2025)
by: Gupta, Nikunj, et al.
Published: (2025)
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models
by: Gupta, Neelesh, et al.
Published: (2024)
by: Gupta, Neelesh, et al.
Published: (2024)
Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2026)
by: Gupta, Nikunj, et al.
Published: (2026)
SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts
by: Fein-Ashley, Jacob, et al.
Published: (2025)
by: Fein-Ashley, Jacob, et al.
Published: (2025)
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
by: Gupta, Neelesh, et al.
Published: (2026)
by: Gupta, Neelesh, et al.
Published: (2026)
HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2025)
by: Gupta, Nikunj, et al.
Published: (2025)
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification
by: Fein-Ashley, Jacob, et al.
Published: (2024)
by: Fein-Ashley, Jacob, et al.
Published: (2024)
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2026)
by: Gupta, Nikunj, et al.
Published: (2026)
TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
by: Gupta, Nikunj, et al.
Published: (2025)
by: Gupta, Nikunj, et al.
Published: (2025)
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching
by: Zhang, Pengmiao, et al.
Published: (2023)
by: Zhang, Pengmiao, et al.
Published: (2023)
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition
by: Fein-Ashley, Jacob, et al.
Published: (2023)
by: Fein-Ashley, Jacob, et al.
Published: (2023)
Text Has Curvature
by: Grover, Karish, et al.
Published: (2026)
by: Grover, Karish, et al.
Published: (2026)
A Unified CPU-GPU Protocol for GNN Training
by: Lin, Yi-Chien, et al.
Published: (2024)
by: Lin, Yi-Chien, et al.
Published: (2024)
Parameter-Free Structural-Diversity Message Passing for Graph Neural Networks
by: Kong, Mingyue, et al.
Published: (2025)
by: Kong, Mingyue, et al.
Published: (2025)
Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning
by: Zeng, Hanqing, et al.
Published: (2025)
by: Zeng, Hanqing, et al.
Published: (2025)
FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption
by: Xu, Zhihan, et al.
Published: (2025)
by: Xu, Zhihan, et al.
Published: (2025)
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024)
by: E, Jiawei, et al.
Published: (2024)
Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)
by: Wang, Shangshang, et al.
Published: (2025)
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
by: Ye, Tian, et al.
Published: (2024)
by: Ye, Tian, et al.
Published: (2024)
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA
by: Zhang, Bingyi, et al.
Published: (2024)
by: Zhang, Bingyi, et al.
Published: (2024)
Similar Items
-
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
by: Akgül, Ömer Faruk, et al.
Published: (2024) -
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
by: Akgül, Ömer Faruk, et al.
Published: (2025) -
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
by: Deng, Gangda, et al.
Published: (2024) -
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
by: Deng, Gangda, et al.
Published: (2024) -
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)