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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 1949 papers

TitleStatusHype
Towards Foundation Models for Knowledge Graph ReasoningCode2
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial MarketsCode2
GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningCode2
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsCode2
Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryCode2
CogDL: A Comprehensive Library for Graph Deep LearningCode2
Complex Embeddings for Simple Link PredictionCode2
Deep Bidirectional Language-Knowledge Graph PretrainingCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Graph Transformer NetworksCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Benchmarking Graph Neural Networks on Dynamic Link PredictionCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
Boosting Graph Embedding on a Single GPUCode1
Automatic Relation-aware Graph Network ProliferationCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Adversarial Training Methods for Network EmbeddingCode1
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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