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 451–475 of 1949 papers

TitleStatusHype
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc NetworksCode0
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction—0
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses—0
Structural Alignment in Link PredictionCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-237—0
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling—0
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningCode0
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs—0
MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight PredictionCode0
A Novel Graph Transformer Framework for Gene Regulatory Network Inference—0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
Transfer Learning for Temporal Link PredictionCode0
Trajectory Encoding Temporal Graph NetworksCode0
GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction—0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association PredictionCode0
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks—0
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link PredictionCode0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
Graph Attention for Heterogeneous Graphs with Positional EncodingCode0
Knowledge Graph Completion with Mixed Geometry Tensor FactorizationCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Comparison of Metadata Representation Models for Knowledge Graph Embeddings—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