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 1701–1725 of 1949 papers

TitleStatusHype
Efficient Personalized Community Detection via Genetic Evolution—0
Graph Agent: Explicit Reasoning Agent for Graphs—0
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives—0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges—0
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification—0
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs—0
Graph Attention Inference of Network Topology in Multi-Agent Systems—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Asymmetric Transitivity Preserving Graph Embedding—0
Graph-based Aspect Representation Learning for Entity Resolution—0
Graph-based Generalization Bounds for Learning Binary Relations—0
Graph Based Link Prediction between Human Phenotypes and Genes—0
Class-Balanced and Reinforced Active Learning on Graphs—0
Graph Clustering with Graph Neural Networks—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
Asymmetric Learning for Graph Neural Network based Link Prediction—0
Graph Collaborative Reasoning—0
Graph Contrastive Learning on Multi-label Classification for Recommendations—0
Graph Convolutional Gaussian Processes For Link Prediction—0
Efficiently Embedding Dynamic Knowledge Graphs—0
Efficient layout-aware pretraining for multimodal form understanding—0
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion—0
Graph Distance Neural Networks for Predicting Multiple Drug Interactions—0
A Survey on Signed Graph Embedding: Methods and Applications—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