link prediction

620 papers

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Also known as

LP

Co-occurring keywords

graph neural network (3945) knowledge graph embedding (300) knowledge graph (1795) knowledge graph completion (236) node classification (480) representation learning (6174) graph embedding (348) entity embedding (160) temporal knowledge graph (128) network embedding (111)

Papers

Structure Balance and Gradient Matching-Based Signed Graph Condensation AAAI 2025

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning COLING 2025

Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025

HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction EMNLP 2025

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank AAAI 2025

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025

SURF: A System to Unveil Explainable Risk Relations between Firms NAACL 2025

Knowledge Graph Completion with Relation-Aware Anchor Enhancement AAAI 2025

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding NAACL 2025

Self-Explainable Graph Transformer for Link Sign Prediction AAAI 2025

SEMMA: A Semantic Aware Knowledge Graph Foundation Model EMNLP 2025

SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion EMNLP 2025

LeCNet: A Legal Citation Network Benchmark Dataset IJCNLP 2025

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning AAAI 2025

Less Is MuRE: Revisiting Shallow Knowledge Graph Embeddings EMNLP 2025

Knowledge Graph Pooling and Unpooling for Concept Abstraction COLING 2025

Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding COLING 2025

MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking IJCAI 2025

DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation IJCAI 2025

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025

Rewarding Explainability in Drug Repurposing with Knowledge Graphs IJCAI 2025

Can Large Language Models Tackle Graph Partitioning? EMNLP 2025

Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method AAAI 2025

KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025