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 11261150 of 1949 papers

TitleStatusHype
Relation Embedding with Dihedral Group in Knowledge Graph0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks0
An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits0
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series0
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data0
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information0
Linkless Link Prediction via Relational Distillation0
Stabilizing the Kumaraswamy Distribution0
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage0
Link Prediction Approach to Recommender Systems0
Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood0
Link prediction for egocentrically sampled networks0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process0
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features0
Link Prediction for Temporally Consistent Networks0
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity0
Link Prediction in Bipartite Networks0
Link Prediction in Dynamic Graphs for Recommendation0
Link Prediction in Graphs with Autoregressive Features0
Link Prediction in Hypergraphs using Graph Convolutional Networks0
Link Prediction in Multiplex Networks based on Interlayer Similarity0
Link prediction in multiplex networks via triadic closure0
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism0
Outliers Detection in Networks with Missing Links0
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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