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

Showing 125 of 1949 papers

TitleStatusHype
What's Behind the Mask: Understanding Masked Graph Modeling for Graph AutoencodersCode6
A Survey of Large Language Models for GraphsCode3
OpenGraph: Towards Open Graph Foundation ModelsCode3
ROLAND: Graph Learning Framework for Dynamic GraphsCode3
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Attention Is All You NeedCode3
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Mixed-curvature decision trees and random forestsCode2
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsCode2
wav2graph: A Framework for Supervised Learning Knowledge Graph from SpeechCode2
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial MarketsCode2
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code CompletionCode2
Multi-perspective Improvement of Knowledge Graph Completion with Large Language ModelsCode2
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph TransformersCode2
GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningCode2
Towards Foundation Models for Knowledge Graph ReasoningCode2
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic NetworksCode2
Link Prediction without Graph Neural NetworksCode2
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesCode2
Counterfactual Learning on Graphs: A SurveyCode2
Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryCode2
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
Deep Bidirectional Language-Knowledge Graph PretrainingCode2
Recipe for a General, Powerful, Scalable Graph TransformerCode2
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Benchmark Results

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