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 2650 of 1949 papers

TitleStatusHype
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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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