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

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Showing 401–450 of 1949 papers

TitleStatusHype
Causal Question Answering with Reinforcement LearningCode0
Cooperative Network Learning for Large-Scale and Decentralized GraphsCode0
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach—0
Community Detection Guarantees Using Embeddings Learned by Node2Vec—0
Balancing Augmentation with Edge-Utility Filter for Signed GNNs—0
Enhancing Dense Retrievers' Robustness with Group-level ReweightingCode0
Graph Agent: Explicit Reasoning Agent for Graphs—0
DyExplainer: Explainable Dynamic Graph Neural Networks—0
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning—0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
Universal Knowledge Graph EmbeddingsCode0
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules—0
Towards Enhancing Relational Rules for Knowledge Graph Link PredictionCode0
Exploring Graph Neural Networks for Indian Legal Judgment Prediction—0
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
A Benchmark for Semi-Inductive Link Prediction in Knowledge GraphsCode0
Privacy-Preserving Graph Embedding based on Local Differential PrivacyCode0
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings—0
Network Analysis of the iNaturalist Citizen Science Community—0
Dynamic Link Prediction for New Nodes in Temporal Graph Networks—0
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph EmbeddingCode0
Efficient Link Prediction via GNN Layers Induced by Negative SamplingCode0
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings—0
Towards Foundation Models for Knowledge Graph ReasoningCode2
A Topological Perspective on Demystifying GNN-Based Link Prediction PerformanceCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Deep Insights into Noisy Pseudo Labeling on Graph DataCode0
DINE: Dimensional Interpretability of Node EmbeddingsCode0
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation—0
NP^2L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks—0
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
Revisiting Link Prediction: A Data PerspectiveCode1
DURENDAL: Graph deep learning framework for temporal heterogeneous networks—0
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionCode0
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge GraphsCode0
SANGEA: Scalable and Attributed Network Generation—0
Graph Neural Prompting with Large Language ModelsCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningCode0
Knowledge Graph Embedding: An Overview—0
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction—0
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning—0
Temporal Smoothness Regularisers for Neural Link Predictors—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