BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Amber Yijia, He, Tong, Qiu, Yixuan, Wang, Minjie, Wipf, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
by: Färber, Michael, et al.
Published: (2024)
by: Färber, Michael, et al.
Published: (2024)
Robust Angular Synchronization via Directed Graph Neural Networks
by: He, Yixuan, et al.
Published: (2023)
by: He, Yixuan, et al.
Published: (2023)
Explicit Preference Optimization: No Need for an Implicit Reward Model
by: Hu, Xiangkun, et al.
Published: (2025)
by: Hu, Xiangkun, et al.
Published: (2025)
Functional Bilevel Optimization for Machine Learning
by: Petrulionyte, Ieva, et al.
Published: (2024)
by: Petrulionyte, Ieva, et al.
Published: (2024)
Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
by: Qiu, Yang, et al.
Published: (2026)
by: Qiu, Yang, et al.
Published: (2026)
Griffin: Towards a Graph-Centric Relational Database Foundation Model
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
Bloom Filter Encoding for Machine Learning
by: Cartmell, John, et al.
Published: (2025)
by: Cartmell, John, et al.
Published: (2025)
RDBLearn: Simple In-Context Prediction Over Relational Databases
by: Zhang, Yanlin, et al.
Published: (2026)
by: Zhang, Yanlin, et al.
Published: (2026)
No Need to Train Your RDB Foundation Model
by: Xu, Linjie, et al.
Published: (2026)
by: Xu, Linjie, et al.
Published: (2026)
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
by: Huang, Kezhao, et al.
Published: (2023)
by: Huang, Kezhao, et al.
Published: (2023)
Sparse Autoencoders, Again?
by: Lu, Yin, et al.
Published: (2025)
by: Lu, Yin, et al.
Published: (2025)
Learning Theory for Kernel Bilevel Optimization
by: Khoury, Fares El, et al.
Published: (2025)
by: Khoury, Fares El, et al.
Published: (2025)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
How Graph Neural Networks Learn: Lessons from Training Dynamics
by: Yang, Chenxiao, et al.
Published: (2023)
by: Yang, Chenxiao, et al.
Published: (2023)
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
by: Cheng, Minjie, et al.
Published: (2023)
by: Cheng, Minjie, et al.
Published: (2023)
CoBo: Collaborative Learning via Bilevel Optimization
by: Hashemi, Diba, et al.
Published: (2024)
by: Hashemi, Diba, et al.
Published: (2024)
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
by: Li, Ning, et al.
Published: (2025)
by: Li, Ning, et al.
Published: (2025)
Implicit vs Unfolded Graph Neural Networks
by: Yang, Yongyi, et al.
Published: (2021)
by: Yang, Yongyi, et al.
Published: (2021)
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
by: Zhang, Yanlin, et al.
Published: (2024)
by: Zhang, Yanlin, et al.
Published: (2024)
Generalization of Graph Neural Networks through the Lens of Homomorphism
by: Li, Shouheng, et al.
Published: (2024)
by: Li, Shouheng, et al.
Published: (2024)
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
by: Jiang, Haitian, et al.
Published: (2023)
by: Jiang, Haitian, et al.
Published: (2023)
Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions
by: He, Yixuan, et al.
Published: (2025)
by: He, Yixuan, et al.
Published: (2025)
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
by: Yao, Tianyi, et al.
Published: (2021)
by: Yao, Tianyi, et al.
Published: (2021)
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation
by: Chen, Jingyun, et al.
Published: (2024)
by: Chen, Jingyun, et al.
Published: (2024)
Knowledge Distillation Detection for Open-weights Models
by: Shi, Qin, et al.
Published: (2025)
by: Shi, Qin, et al.
Published: (2025)
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
by: Xie, Tiankai, et al.
Published: (2024)
by: Xie, Tiankai, et al.
Published: (2024)
Handling Distribution Shifts on Graphs: An Invariance Perspective
by: Wu, Qitian, et al.
Published: (2022)
by: Wu, Qitian, et al.
Published: (2022)
Robust Ante-hoc Graph Explainer using Bilevel Optimization
by: Luong, Kha-Dinh, et al.
Published: (2023)
by: Luong, Kha-Dinh, et al.
Published: (2023)
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization
by: Yuan, Haochen, et al.
Published: (2025)
by: Yuan, Haochen, et al.
Published: (2025)
Non-Stationary Functional Bilevel Optimization
by: Bohne, Jason, et al.
Published: (2026)
by: Bohne, Jason, et al.
Published: (2026)
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
by: Chen, Jingyun, et al.
Published: (2024)
by: Chen, Jingyun, et al.
Published: (2024)
Online Nonconvex Bilevel Optimization with Bregman Divergences
by: Bohne, Jason, et al.
Published: (2024)
by: Bohne, Jason, et al.
Published: (2024)
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion
by: Zheng, Yijia, et al.
Published: (2024)
by: Zheng, Yijia, et al.
Published: (2024)
Model Immunization from a Condition Number Perspective
by: Zheng, Amber Yijia, et al.
Published: (2025)
by: Zheng, Amber Yijia, et al.
Published: (2025)
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
by: Moskvoretskii, Viktor, et al.
Published: (2024)
by: Moskvoretskii, Viktor, et al.
Published: (2024)
Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
by: Nguyen, Anh B. H., et al.
Published: (2026)
by: Nguyen, Anh B. H., et al.
Published: (2026)
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
by: Kanayama, Takuya, et al.
Published: (2025)
by: Kanayama, Takuya, et al.
Published: (2025)
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
by: Pan, Rui, et al.
Published: (2024)
by: Pan, Rui, et al.
Published: (2024)
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
by: Jiang, Keyue, et al.
Published: (2025)
by: Jiang, Keyue, et al.
Published: (2025)
Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)
by: Ekmekcioglu, Omer, et al.
Published: (2024)
Similar Items
-
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
by: Färber, Michael, et al.
Published: (2024) -
Robust Angular Synchronization via Directed Graph Neural Networks
by: He, Yixuan, et al.
Published: (2023) -
Explicit Preference Optimization: No Need for an Implicit Reward Model
by: Hu, Xiangkun, et al.
Published: (2025) -
Functional Bilevel Optimization for Machine Learning
by: Petrulionyte, Ieva, et al.
Published: (2024) -
Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
by: Qiu, Yang, et al.
Published: (2026)