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 276–300 of 1949 papers

TitleStatusHype
Evaluating Node Embeddings of Complex NetworksCode1
A Unified Lottery Ticket Hypothesis for Graph Neural NetworksCode1
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional NetworksCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Membership Inference Attack on Graph Neural NetworksCode1
On Dyadic Fairness: Exploring and Mitigating Bias in Graph ConnectionsCode1
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future LinksCode1
Adaptive Graph Diffusion NetworksCode1
A Generalization of Transformer Networks to GraphsCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphsCode1
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language ModelsCode1
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkCode1
Learning to Drop: Robust Graph Neural Network via Topological DenoisingCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
Two-stage Training of Graph Neural Networks for Graph ClassificationCode1
PairRE: Knowledge Graph Embeddings via Paired Relation VectorsCode1
Learning on Attribute-Missing GraphsCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
Graph Geometry Interaction LearningCode1
Metapath- and Entity-aware Graph Neural Network for RecommendationCode1
Line Graph Neural Networks for Link PredictionCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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