Mini-Batch Class Composition Bias in Link Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Maguire, Kieran, Dasmahapatra, Srinandan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
by: Tamajo, Alberto, et al.
Published: (2026)
by: Tamajo, Alberto, et al.
Published: (2026)
The Effect of Mini-Batch Noise on the Implicit Bias of Adam
by: Cattaneo, Matias D., et al.
Published: (2026)
by: Cattaneo, Matias D., et al.
Published: (2026)
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
by: Yang, Haoyu, et al.
Published: (2024)
by: Yang, Haoyu, et al.
Published: (2024)
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
by: Balaji, Vignesh, et al.
Published: (2025)
by: Balaji, Vignesh, et al.
Published: (2025)
Mini-Batch Kernel $k$-means
by: Jourdan, Ben, et al.
Published: (2024)
by: Jourdan, Ben, et al.
Published: (2024)
Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA
by: Lee, Sangyoon, et al.
Published: (2026)
by: Lee, Sangyoon, et al.
Published: (2026)
Batch Bayesian Active Learning with Partial Batch Label Sampling
by: Hu, Kangping, et al.
Published: (2025)
by: Hu, Kangping, et al.
Published: (2025)
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
by: Liu, Weijie, et al.
Published: (2023)
by: Liu, Weijie, et al.
Published: (2023)
Compositional Sparsity as an Inductive Bias for Neural Architecture Design
by: Lin, Hongyu, et al.
Published: (2026)
by: Lin, Hongyu, et al.
Published: (2026)
Novel Dynamic Batch-Sensitive Adam Optimiser for Vehicular Accident Injury Severity Prediction
by: Kyei, Daniel Asare, et al.
Published: (2026)
by: Kyei, Daniel Asare, et al.
Published: (2026)
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
by: Wu, Yinting, et al.
Published: (2024)
by: Wu, Yinting, et al.
Published: (2024)
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
by: Malashin, Roman, et al.
Published: (2025)
by: Malashin, Roman, et al.
Published: (2025)
Instance Discrimination for Link Prediction
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Structural Alignment in Link Prediction
by: Sardina, Jeffrey Seathrún
Published: (2025)
by: Sardina, Jeffrey Seathrún
Published: (2025)
Link Prediction with Relational Hypergraphs
by: Huang, Xingyue, et al.
Published: (2024)
by: Huang, Xingyue, et al.
Published: (2024)
Reevaluation of Inductive Link Prediction
by: Ott, Simon, et al.
Published: (2024)
by: Ott, Simon, et al.
Published: (2024)
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
by: Shen, Tony, et al.
Published: (2025)
by: Shen, Tony, et al.
Published: (2025)
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics
by: Ren, Yi, et al.
Published: (2024)
by: Ren, Yi, et al.
Published: (2024)
Focus on Likely Classes for Test-Time Prediction
by: Schneider, Johannes
Published: (2025)
by: Schneider, Johannes
Published: (2025)
Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)
by: He, Mingguo, et al.
Published: (2025)
Reconsidering the Performance of GAE in Link Prediction
by: Ma, Weishuo, et al.
Published: (2024)
by: Ma, Weishuo, et al.
Published: (2024)
Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)
by: Chatterjee, Ayan, et al.
Published: (2025)
BatchTopK Sparse Autoencoders
by: Bussmann, Bart, et al.
Published: (2024)
by: Bussmann, Bart, et al.
Published: (2024)
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)
by: Zhao, Tianyi, et al.
Published: (2024)
Link Prediction with Untrained Message Passing Layers
by: Qarkaxhija, Lisi, et al.
Published: (2024)
by: Qarkaxhija, Lisi, et al.
Published: (2024)
On the Theoretical Limitations of Embedding-based Link Prediction
by: Badreddine, Samy, et al.
Published: (2025)
by: Badreddine, Samy, et al.
Published: (2025)
Batch Normalization Amplifies Memorization and Privacy Risks
by: Doan, Ngoc Phu, et al.
Published: (2026)
by: Doan, Ngoc Phu, et al.
Published: (2026)
Riemannian Batch Normalization: A Gyro Approach
by: Chen, Ziheng, et al.
Published: (2025)
by: Chen, Ziheng, et al.
Published: (2025)
NAVIX: Scaling MiniGrid Environments with JAX
by: Pignatelli, Eduardo, et al.
Published: (2024)
by: Pignatelli, Eduardo, et al.
Published: (2024)
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
by: Penso, Coby, et al.
Published: (2025)
by: Penso, Coby, et al.
Published: (2025)
Predicting Classification Accuracy When Adding New Unobserved Classes
by: Slavutsky, Yuli, et al.
Published: (2020)
by: Slavutsky, Yuli, et al.
Published: (2020)
Rare Class Prediction Model for Smart Industry in Semiconductor Manufacturing
by: Farrag, Abdelrahman, et al.
Published: (2024)
by: Farrag, Abdelrahman, et al.
Published: (2024)
A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
by: Tunga, Anirudh, et al.
Published: (2026)
by: Tunga, Anirudh, et al.
Published: (2026)
MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction
by: Martell, Marc Boubnovski, et al.
Published: (2026)
by: Martell, Marc Boubnovski, et al.
Published: (2026)
Learnable Spatial-Temporal Positional Encoding for Link Prediction
by: Tieu, Katherine, et al.
Published: (2025)
by: Tieu, Katherine, et al.
Published: (2025)
Sub-graph Based Diffusion Model for Link Prediction
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Making Batch Normalization Great in Federated Deep Learning
by: Zhong, Jike, et al.
Published: (2023)
by: Zhong, Jike, et al.
Published: (2023)
Tiny, On-Device Decision Makers with the MiniConv Library
by: Purves, Carlos
Published: (2025)
by: Purves, Carlos
Published: (2025)
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
by: Plecko, Drago, et al.
Published: (2024)
by: Plecko, Drago, et al.
Published: (2024)
SnapE -- Training Snapshot Ensembles of Link Prediction Models
by: Shaban, Ali, et al.
Published: (2024)
by: Shaban, Ali, et al.
Published: (2024)
Similar Items
-
Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
by: Tamajo, Alberto, et al.
Published: (2026) -
The Effect of Mini-Batch Noise on the Implicit Bias of Adam
by: Cattaneo, Matias D., et al.
Published: (2026) -
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
by: Yang, Haoyu, et al.
Published: (2024) -
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
by: Balaji, Vignesh, et al.
Published: (2025) -
Mini-Batch Kernel $k$-means
by: Jourdan, Ben, et al.
Published: (2024)