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 18261850 of 1949 papers

TitleStatusHype
A Unification Framework for Euclidean and Hyperbolic Graph Neural NetworksCode0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Quaternion Knowledge Graph EmbeddingsCode0
QubitE: Qubit Embedding for Knowledge Graph CompletionCode0
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge GraphsCode0
Random Walk Guided Hyperbolic Graph DistillationCode0
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
RDF-star2Vec: RDF-star Graph Embeddings for Data MiningCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Reevaluation of Inductive Link PredictionCode0
ReInform: Selecting paths with reinforcement learning for contextualized link predictionCode0
Relational Boosted BanditsCode0
Relational Concept Bottleneck ModelsCode0
Relation Specific Transformations for Open World Knowledge Graph CompletionCode0
Repeat-Aware Neighbor Sampling for Dynamic Graph LearningCode0
Replacing Paths with Connection-Biased Attention for Knowledge Graph CompletionCode0
Representation Learning for Heterogeneous Information Networks via Embedding EventsCode0
Representation Learning with Ordered Relation Paths for Knowledge Graph CompletionCode0
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data AugmentationsCode0
Residual2Vec: Debiasing graph embedding with random graphsCode0
Rethinking Kernel Methods for Node Representation Learning on GraphsCode0
Rethinking Link Prediction for Directed GraphsCode0
Rethinking the positive role of cluster structure in complex networks for link prediction tasksCode0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
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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
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)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