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 14511475 of 1949 papers

TitleStatusHype
A Text-based Approach For Link Prediction on Wikipedia ArticlesCode0
A Topological Perspective on Demystifying GNN-Based Link Prediction PerformanceCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
Attention Models in Graphs: A SurveyCode0
Attributed Network Embedding for Incomplete Attributed NetworksCode0
Attributed Network Embedding via Subspace DiscoveryCode0
Augmenting and Tuning Knowledge Graph EmbeddingsCode0
Augmenting Knowledge Graphs for Better Link PredictionCode0
AutoGEL: An Automated Graph Neural Network with Explicit Link InformationCode0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate TransformerCode0
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link PredictionCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural NetworkCode0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Benchmarks for Graph Embedding EvaluationCode0
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large GraphsCode0
Beyond Observed Connections : Link InjectionCode0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
Binarized Attributed Network EmbeddingCode0
Dual Box Embeddings for the Description Logic EL++Code0
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4ScienceCode0
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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