Image de couverture de livre

Structural Alignment in Link Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sardina, Jeffrey Seathrún
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
par: Sardina, Jeffrey, et autres
Publié: (2024)

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
par: Sardina, Jeffrey, et autres
Publié: (2024)

Higher-order Structure Boosts Link Prediction on Temporal Graphs
par: Liu, Jingzhe, et autres
Publié: (2025)

Link Prediction with Relational Hypergraphs
par: Huang, Xingyue, et autres
Publié: (2024)

Reevaluation of Inductive Link Prediction
par: Ott, Simon, et autres
Publié: (2024)

Instance Discrimination for Link Prediction
par: Cuzin-Rambaud, Valentin, et autres
Publié: (2026)

Rethinking Link Prediction for Directed Graphs
par: He, Mingguo, et autres
Publié: (2025)

Transfer Learning for Temporal Link Prediction
par: Chatterjee, Ayan, et autres
Publié: (2025)

Reconsidering the Performance of GAE in Link Prediction
par: Ma, Weishuo, et autres
Publié: (2024)

Representation Alignment Rests on Linear Structure
par: Bangachev, Kiril, et autres
Publié: (2026)

Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry
par: Kucukahmetler, Deniz, et autres
Publié: (2026)

On the Theoretical Limitations of Embedding-based Link Prediction
par: Badreddine, Samy, et autres
Publié: (2025)

Conformalized Link Prediction on Graph Neural Networks
par: Zhao, Tianyi, et autres
Publié: (2024)

Link Prediction with Untrained Message Passing Layers
par: Qarkaxhija, Lisi, et autres
Publié: (2024)

On the Importance of Pretraining Data Alignment for Atomic Property Prediction
par: Ghunaim, Yasir, et autres
Publié: (2025)

Learnable Spatial-Temporal Positional Encoding for Link Prediction
par: Tieu, Katherine, et autres
Publié: (2025)

Sub-graph Based Diffusion Model for Link Prediction
par: Li, Hang, et autres
Publié: (2024)

Mini-Batch Class Composition Bias in Link Prediction
par: Maguire, Kieran, et autres
Publié: (2026)

From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning
par: Dutta, Mintu, et autres
Publié: (2026)

A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
par: Song, Yu, et autres
Publié: (2025)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
par: Lu, Huashen, et autres
Publié: (2025)

SnapE -- Training Snapshot Ensembles of Link Prediction Models
par: Shaban, Ali, et autres
Publié: (2024)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
par: Kim, Minsang, et autres
Publié: (2024)

Information as Structural Alignment: A Dynamical Theory of Continual Learning
par: Negulescu, Radu
Publié: (2026)

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
par: Arbel, Michael, et autres
Publié: (2026)

Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
par: Zou, Tao, et autres
Publié: (2025)

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
par: Li, Mingchen, et autres
Publié: (2025)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
par: Huang, Xingyue, et autres
Publié: (2025)

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
par: Yu, Zhongyi, et autres
Publié: (2025)

Directed Link Prediction using GNN with Local and Global Feature Fusion
par: Zhang, Yuyang, et autres
Publié: (2025)

Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
par: Qin, Zongyue, et autres
Publié: (2025)

TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
par: Li, Hao, et autres
Publié: (2025)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
par: Sattar, Asma, et autres
Publié: (2024)

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
par: Zheng, Wenjie, et autres
Publié: (2022)

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
par: Fan, Ziyu, et autres
Publié: (2025)

MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design
par: Zhang, Wei, et autres
Publié: (2025)

Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure
par: Sardina, Jeffrey, et autres
Publié: (2024)

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
par: Wang, Juntong, et autres
Publié: (2025)

Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization
par: Naderi, Habibeh, et autres
Publié: (2026)

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL
par: Eben, Jeffrey, et autres
Publié: (2025)