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 13011325 of 1949 papers

TitleStatusHype
Type-Constrained Representation Learning in Knowledge Graphs0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks0
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective0
Understanding Generalization in Node and Link Prediction0
Understanding graph embedding methods and their applications0
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach0
Association Rules Enhanced Knowledge Graph Attention Network0
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-2370
Efficient Personalized Community Detection via Genetic Evolution0
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems0
Efficient Relational Context Perception for Knowledge Graph Completion0
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search0
Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors0
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models0
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains0
Universal Link Predictor By In-Context Learning on Graphs0
Universal Representation for Code0
A statistical interpretation of spectral embedding: the generalised random dot product graph0
Unsupervised Adversarial Graph Alignment with Graph Embedding0
Unsupervised Adversarially-Robust Representation Learning on Graphs0
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees0
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs0
Unsupervised Domain-adaptive Hash for Networks0
Untargeted Adversarial Attack on Knowledge Graph Embeddings0
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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