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 451475 of 1949 papers

TitleStatusHype
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug RepurposingCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document DeduplicationCode0
Do Similar Entities have Similar Embeddings?Code0
Improving rule mining via embedding-based link predictionCode0
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community InfluencesCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendationCode0
A survey of embedding models of entities and relationships for knowledge graph completionCode0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
Calibrating and Improving Graph Contrastive LearningCode0
A novel robust integrating method by high-order proximity for self-supervised attribute network embeddingCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Beyond Observed Connections : Link InjectionCode0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Adversarial Attack on Network Embeddings via Supervised Network PoisoningCode0
DRUM: End-To-End Differentiable Rule Mining On Knowledge GraphsCode0
Hypernetwork Knowledge Graph EmbeddingsCode0
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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