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 751775 of 1949 papers

TitleStatusHype
The maximum capability of a topological feature in link predictionCode0
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph CompletionCode0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process0
A Representation Learning Framework for Property GraphsCode1
Language Models as Knowledge EmbeddingsCode1
Geometry Interaction Knowledge Graph EmbeddingsCode1
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction0
Sampling Enclosing Subgraphs for Link PredictionCode0
Efficient and effective training of language and graph neural network models0
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link PredictionCode1
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation LearningCode0
Long Range Graph BenchmarkCode1
tBDFS: Temporal Graph Neural Network Leveraging DFSCode0
A Unification Framework for Euclidean and Hyperbolic Graph Neural NetworksCode0
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link PredictionCode1
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding0
Schema-Guided Event Graph Completion0
On Calibration of Graph Neural Networks for Node ClassificationCode0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction0
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language SpecificationsCode0
Automatic Relation-aware Graph Network ProliferationCode1
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsCode0
Anchor Prediction: A Topic Modeling Approach0
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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