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 951–1000 of 1949 papers

TitleStatusHype
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
Holder Recommendations using Graph Representation Learning & Link Prediction—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
Rethinking the positive role of cluster structure in complex networks for link prediction tasksCode0
An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits—0
DyG2Vec: Efficient Representation Learning for Dynamic GraphsCode0
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts—0
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering—0
Line Graph Contrastive Learning for Link PredictionCode0
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning—0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs—0
Generalized Reciprocal Perspective—0
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information NetworksCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Linkless Link Prediction via Relational Distillation—0
Towards Real-Time Temporal Graph LearningCode0
A Framework for Large Scale Synthetic Graph Dataset Generation—0
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction—0
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation—0
Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural NetworksCode0
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs—0
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges—0
Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction—0
Sparse Vicious Attacks on Graph Neural NetworksCode0
Neural-Symbolic Entangled Framework for Complex Query Answering—0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Flashlight: Scalable Link Prediction with Effective Decoders—0
SPGP: Structure Prototype Guided Graph Pooling—0
Hub-aware Random Walk Graph Embedding Methods for Classification—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
Graph Perceiver IO: A General Architecture for Graph Structured DataCode0
Manifold Rewiring for Unlabeled Imaging—0
A Complex Network based Graph Embedding Method for Link Prediction—0
Towards Sparsification of Graph Neural NetworksCode0
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath—0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Graph Distance Neural Networks for Predicting Multiple Drug Interactions—0
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods—0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models—0
Link prediction with continuous-time classical and quantum walks—0
Link-Backdoor: Backdoor Attack on Link Prediction via Node InjectionCode0
Path-aware Siamese Graph Neural Network for Link PredictionCode0
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding—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