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 1–50 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
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
TeleGraph: A Benchmark Dataset for Hierarchical Link PredictionCode2
TGL: A General Framework for Temporal GNN Training on Billion-Scale GraphsCode2
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
CogDL: A Comprehensive Library for Graph Deep LearningCode2
Identity-aware Graph Neural NetworksCode2
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph EmbeddingsCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Benchmarking Graph Neural NetworksCode2
Graph Transformer NetworksCode2
Complex Embeddings for Simple Link PredictionCode2
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code SelectionCode1
Knowledge Graph Completion with Relation-Aware Anchor EnhancementCode1
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationCode1
Beyond Message Passing: Neural Graph Pattern MachineCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
Training MLPs on Graphs without SupervisionCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link PredictionCode1
Reconsidering the Performance of GAE in Link PredictionCode1
RAGraph: A General Retrieval-Augmented Graph Learning FrameworkCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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