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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1125 of 1949 papers

TitleStatusHype
Weakly supervised collective feature learning from curated media—0
A Comparative Study for Unsupervised Network Representation Learning—0
Type-based Neural Link Prediction Adapter for Complex Query Answering—0
Deep Sparse Latent Feature Models for Knowledge Graph Completion—0
Deep Representation Learning for Social Network Analysis—0
Deep Partial Multiplex Network Embedding—0
Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings—0
Spectral Evolution with Approximated Eigenvalue Trajectories for Link Prediction—0
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs—0
Learning Word Embeddings from Intrinsic and Extrinsic Views—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Spectral Network Embedding: A Fast and Scalable Method via Sparsity—0
Spectro-Riemannian Graph Neural Networks—0
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning—0
Leveraging Network Dynamics for Improved Link Prediction—0
SPGP: Structure Prototype Guided Graph Pooling—0
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning—0
Type-Constrained Representation Learning in Knowledge Graphs—0
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
DeepLink: A Novel Link Prediction Framework based on Deep Learning—0
Limitations and Alternatives for the Evaluation of Large-scale Link Prediction—0
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices—0
Deep Learning in Mobile and Wireless Networking: A Survey—0
Deep Hashing for Signed Social Network Embedding—0
Deep Generative Models for Relational Data with Side Information—0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified