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 926950 of 1949 papers

TitleStatusHype
Inductive Logical Query Answering in Knowledge GraphsCode0
Efficient Link Prediction via GNN Layers Induced by Negative SamplingCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
Regex Queries over Incomplete Knowledge BasesCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite HypergraphsCode0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
The maximum capability of a topological feature in link predictionCode0
BScNets: Block Simplicial Complex Neural NetworksCode0
The unknown knowns: a graph-based approach for temporal COVID-19 literature miningCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link PredictionCode0
Adversarial Permutation Guided Node Representations for Link PredictionCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
DRUM: End-To-End Differentiable Rule Mining On Knowledge GraphsCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
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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