Cover Image

Reevaluation of Inductive Link Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ott, Simon, Meilicke, Christian, Stuckenschmidt, Heiner
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting
by: Gastinger, Julia, et al.
Published: (2025)

A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs
by: Betz, Patrick, et al.
Published: (2024)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
by: Elyasi, Keyvan Amiri, et al.
Published: (2024)

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
by: Tschalzev, Andrej, et al.
Published: (2024)

Explaining Neural Networks without Access to Training Data
by: Marton, Sascha, et al.
Published: (2022)

History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
by: Gastinger, Julia, et al.
Published: (2024)

Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning
by: Kirchdorfer, Lukas, et al.
Published: (2024)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
by: Huang, Xingyue, et al.
Published: (2025)

Inductive Entity Representations from Text via Link Prediction
by: Daza, Daniel, et al.
Published: (2020)

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs
by: Su, Zhixiang, et al.
Published: (2025)

Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
by: Zhou, Jincheng, et al.
Published: (2023)

Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
by: Yin, Gongzhu, et al.
Published: (2025)

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
by: Liu, Tianyu, et al.
Published: (2024)

Fact Probability Vector Based Goal Recognition
by: Wilken, Nils, et al.
Published: (2024)

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction
by: Martell, Marc Boubnovski, et al.
Published: (2026)

Inductive Moment Matching
by: Zhou, Linqi, et al.
Published: (2025)

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
by: Marton, Sascha, et al.
Published: (2023)

Instilling Inductive Biases with Subnetworks
by: Zhang, Enyan, et al.
Published: (2023)

Self-Supervised Inductive Logic Programming
by: Patsantzis, Stassa
Published: (2025)

Link Prediction with Relational Hypergraphs
by: Huang, Xingyue, et al.
Published: (2024)

Structural Alignment in Link Prediction
by: Sardina, Jeffrey Seathrún
Published: (2025)

Instance Discrimination for Link Prediction
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)

Reconsidering the Performance of GAE in Link Prediction
by: Ma, Weishuo, et al.
Published: (2024)

Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)

Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)

Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
by: Chen, Zihao, et al.
Published: (2025)

Soft Geometric Inductive Bias for Object Centric Dynamics
by: Linander, Hampus, et al.
Published: (2025)

Compositional Sparsity as an Inductive Bias for Neural Architecture Design
by: Lin, Hongyu, et al.
Published: (2026)

Semantic-Inductive Attribute Selection for Zero-Shot Learning
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
by: Ye, Yuanchang, et al.
Published: (2025)

Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)

Link Prediction with Untrained Message Passing Layers
by: Qarkaxhija, Lisi, et al.
Published: (2024)

Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction
by: Lian, Xiaoqing, et al.
Published: (2025)

On the Theoretical Limitations of Embedding-based Link Prediction
by: Badreddine, Samy, et al.
Published: (2025)

Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
by: Shomer, Harry, et al.
Published: (2024)

Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation
by: Hillerstrom, Fieke, et al.
Published: (2024)

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks
by: Campbell, Declan, et al.
Published: (2024)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
by: Wang, Xiangmeng, et al.
Published: (2026)

GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
by: Van Langendonck, Louis, et al.
Published: (2025)