SnapE -- Training Snapshot Ensembles of Link Prediction Models
Fuente:
arXiv
Saved in:
| Main Authors: | Shaban, Ali, Paulheim, Heiko |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning
by: Schlechtinger, Michael, et al.
Published: (2024)
by: Schlechtinger, Michael, et al.
Published: (2024)
Do Similar Entities have Similar Embeddings?
by: Hubert, Nicolas, et al.
Published: (2023)
by: Hubert, Nicolas, et al.
Published: (2023)
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
by: Klironomos, Antonis, et al.
Published: (2025)
by: Klironomos, Antonis, et al.
Published: (2025)
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
by: Thuremella, Divya, et al.
Published: (2025)
by: Thuremella, Divya, et al.
Published: (2025)
Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)
by: Klironomos, Antonis, et al.
Published: (2026)
ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs
by: Klironomos, Antonis, et al.
Published: (2025)
by: Klironomos, Antonis, et al.
Published: (2025)
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction
by: Sousa, Rita T., et al.
Published: (2024)
by: Sousa, Rita T., et al.
Published: (2024)
Improved Training of Physics-Informed Neural Networks with Model Ensembles
by: Haitsiukevich, Katsiaryna, et al.
Published: (2022)
by: Haitsiukevich, Katsiaryna, et al.
Published: (2022)
gpuRDF2vec -- Scalable GPU-based RDF2vec
by: Böckling, Martin, et al.
Published: (2025)
by: Böckling, Martin, et al.
Published: (2025)
Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
by: Islam, Towhidul, et al.
Published: (2025)
by: Islam, Towhidul, et al.
Published: (2025)
Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks
by: Arustashvili, Mariam, et al.
Published: (2025)
by: Arustashvili, Mariam, et al.
Published: (2025)
Efficient Ensembles Improve Training Data Attribution
by: Deng, Junwei, et al.
Published: (2024)
by: Deng, Junwei, et al.
Published: (2024)
Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models
by: Cheng, Hailing, et al.
Published: (2026)
by: Cheng, Hailing, et al.
Published: (2026)
Sub-graph Based Diffusion Model for Link Prediction
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Backbone-Equated Diffusion OOD via Sparse Internal Snapshots
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs
by: Oppel, Heiko, et al.
Published: (2025)
by: Oppel, Heiko, et al.
Published: (2025)
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
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)
Structural Alignment in Link Prediction
by: Sardina, Jeffrey Seathrún
Published: (2025)
by: Sardina, Jeffrey Seathrún
Published: (2025)
Instance Discrimination for Link Prediction
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Generalized Discrete Diffusion from Snapshots
by: Zekri, Oussama, et al.
Published: (2026)
by: Zekri, Oussama, et al.
Published: (2026)
Provably Robust Pre-Trained Ensembles for Biomarker-Based Cancer Classification
by: Lee, Chongmin, et al.
Published: (2024)
by: Lee, Chongmin, et al.
Published: (2024)
NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling
by: Grooten, Bram, et al.
Published: (2025)
by: Grooten, Bram, et al.
Published: (2025)
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
by: Huang, Xingyue, et al.
Published: (2025)
by: Huang, Xingyue, et al.
Published: (2025)
Model Ensembling for Constrained Optimization
by: Globus-Harris, Ira, et al.
Published: (2024)
by: Globus-Harris, Ira, et al.
Published: (2024)
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
by: Chaves, Anderson, et al.
Published: (2024)
by: Chaves, Anderson, et al.
Published: (2024)
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost
by: Maier, Jannis, et al.
Published: (2024)
by: Maier, Jannis, et al.
Published: (2024)
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
by: Törnblom, John, et al.
Published: (2023)
by: Törnblom, John, et al.
Published: (2023)
Reconsidering the Performance of GAE in Link Prediction
by: Ma, Weishuo, et al.
Published: (2024)
by: Ma, Weishuo, et al.
Published: (2024)
Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)
by: He, Mingguo, et al.
Published: (2025)
Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)
by: Chatterjee, Ayan, et al.
Published: (2025)
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
by: Odonnat, Ambroise, et al.
Published: (2023)
by: Odonnat, Ambroise, et al.
Published: (2023)
Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
by: Amin, Md. Tahsin, et al.
Published: (2026)
by: Amin, Md. Tahsin, et al.
Published: (2026)
Behavioral Sequence Modeling with Ensemble Learning
by: Kawawa-Beaudan, Maxime, et al.
Published: (2024)
by: Kawawa-Beaudan, Maxime, 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)
Similar Items
-
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning
by: Schlechtinger, Michael, et al.
Published: (2024) -
Do Similar Entities have Similar Embeddings?
by: Hubert, Nicolas, et al.
Published: (2023) -
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
by: Klironomos, Antonis, et al.
Published: (2025) -
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
by: Thuremella, Divya, et al.
Published: (2025) -
Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)