Inductive Link Prediction
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Benchmarks
Most implemented
Neighborhood-aware Scalable Temporal Network Representation Learning
Improving Inductive Link Prediction Using Hyper-Relational Facts
Inductive Entity Representations from Text via Link Prediction
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Leap: Inductive Link Prediction via Learnable TopologyAugmentation
Reevaluation of Inductive Link Prediction
Papers
Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks
A central obstacle in building graph foundation models is the input heterogeneity in terms of feature space dimensionality, semantics, and structure. Such heterogeneity limits the capability of graph neural networks to g…
Inductive Link PredictionModel Graph Inductive Learning for Knowledge Graph Completion
Link prediction in knowledge graphs fundamentally depends on the quality of learned embeddings for entities and relations. However, most existing methods derive these embeddings by aggregating only the local neighborhood…
Knowledge Graph CompletionInductive Link PredictionKnowledge GraphsTHOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs
Knowledge graphs (KGs) have become a key ingredient supporting a variety of applications. Beyond the traditional triplet representation of facts where a relation connects two entities, modern KGs observe an increasing nu…
Inductive Link PredictionKnowledge GraphsGeometric Structural Knowledge Graph Foundation Model
Structural knowledge graph foundation models aim to generalize reasoning to completely new graphs with unseen entities and relations. A key limitation of existing approaches like Ultra is their reliance on a single relat…
Inductive Link PredictionKnowledge GraphsWBT-BGRL: A Non-Contrastive Weighted Bipartite Link Prediction Model for Inductive Learning
Link prediction in bipartite graphs is crucial for applications like recommendation systems and failure detection, yet it is less studied than in monopartite graphs. Contrastive methods struggle with inefficient and bias…
Inductive Link PredictionRecommendation SystemsContrastive LearningType-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Inductive link prediction is emerging as a key paradigm for real-world knowledge graphs (KGs), where new entities frequently appear and models must generalize to them without retraining. Predicting links in a KG faces th…
Inductive Link PredictionKnowledge Graphs