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 601650 of 1949 papers

TitleStatusHype
Learning Granularity Representation for Temporal Knowledge Graph CompletionCode0
Graph Attention Inference of Network Topology in Multi-Agent Systems0
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification0
Enhanced Expressivity in Graph Neural Networks with Lanczos-Based Linear Constraints0
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction0
Conformalized Answer Set Prediction for Knowledge Graph Embedding0
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors0
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation0
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models0
Deep Generative Models for Subgraph PredictionCode0
Knowledge Probing for Graph Representation Learning0
SnapE -- Training Snapshot Ensembles of Link Prediction Models0
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial IntelligenceCode0
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning0
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement0
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction0
Harvesting Textual and Structured Data from the HAL Publication Repository0
An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case StudyCode0
Numerical Literals in Link Prediction: A Critical Examination of Models and DatasetsCode0
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Temporal receptive field in dynamic graph learning: A comprehensive analysisCode0
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization0
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network0
Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models0
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph CompletionCode0
Kolmogorov-Arnold Graph Neural Networks0
Conformalized Link Prediction on Graph Neural Networks0
Link Prediction with Untrained Message Passing Layers0
A Pure Transformer Pretraining Framework on Text-attributed GraphsCode0
Edge Classification on Graphs: New Directions in Topological ImbalanceCode0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs0
Improving rule mining via embedding-based link predictionCode0
Understanding the Generalizability of Link Predictors Under Distribution Shifts on GraphsCode0
GraphFM: A Comprehensive Benchmark for Graph Foundation ModelCode0
Efficient Neural Common Neighbor for Temporal Graph Link PredictionCode0
Strong and Weak Random Walks on Signed NetworksCode0
Generating Human Understandable Explanations for Node Embeddings0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis0
Link Prediction in Bipartite Networks0
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning0
GENIE: Watermarking Graph Neural Networks for Link Prediction0
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks0
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs0
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE0
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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