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 701725 of 1949 papers

TitleStatusHype
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding0
Asymmetric Learning for Graph Neural Network based Link Prediction0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction0
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning0
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation0
Higher-order Structure Boosts Link Prediction on Temporal Graphs0
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions0
From communities to interpretable network and word embedding: an unified approach0
Higher-Order Relations Skew Link Prediction in Graphs0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion0
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs0
Constraint-based Multi-hop Question Answering with Knowledge Graph0
Higher-order Spectral Clustering for Heterogeneous Graphs0
Higher-order Structure Prediction in Evolving Graph Simplicial Complexes0
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning0
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method0
Global and local evaluation of link prediction tasks with neural embeddings0
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations0
GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction0
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks0
GNN Applied to Ego-nets for Friend Suggestions0
Consistencies and inconsistencies between model selection and link prediction in networks0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey0
GRADE: Graph Dynamic Embedding0
Hierarchical Hyperlink Prediction for the WWW0
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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