SOTAVerified

Link Prediction

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

( Image credit: Inductive Representation Learning on Large Graphs )

Papers

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Showing 251–300 of 1949 papers

TitleStatusHype
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks—0
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs—0
Learning Long Range Dependencies on Graphs via Random WalksCode1
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE—0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNsCode0
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic GraphsCode0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation—0
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion—0
Exploring the Performance of Continuous-Time Dynamic Link Prediction AlgorithmsCode0
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Repeat-Aware Neighbor Sampling for Dynamic Graph LearningCode0
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks—0
Node-Time Conditional Prompt Learning In Dynamic Graphs—0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
Accurate Link Prediction for Edge-Incomplete Graphs via PU LearningCode1
Perception-Inspired Graph Convolution for Music Understanding TasksCode1
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks—0
A Survey of Large Language Models for GraphsCode3
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Conditional Local Feature Encoding for Graph Neural Networks—0
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document UnderstandingCode0
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs—0
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural NetworkCode1
SoMeR: Multi-View User Representation Learning for Social Media—0
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings—0
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning—0
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks—0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction—0
CORE: Data Augmentation for Link Prediction via Information Bottleneck—0
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors—0
Progressive Knowledge Graph CompletionCode0
Hierarchical Attention Models for Multi-Relational GraphsCode1
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Generative-Contrastive Heterogeneous Graph Neural NetworkCode0
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model—0
GLEMOS: Benchmark for Instantaneous Graph Learning Model SelectionCode0
Novel Node Category Detection Under Subpopulation ShiftCode0
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs—0
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs EmbeddingCode0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified