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 551–600 of 1949 papers

TitleStatusHype
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender SystemsCode1
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
Counterfactual Learning on Graphs: A SurveyCode2
FMGNN: Fused Manifold Graph Neural Network—0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks—0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction—0
A source separation approach to temporal graph modelling for computer networksCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Knowledge Enhanced Graph Neural Networks for Graph Completion—0
CoCon: A Data Set on Combined Contextualized Research Artifact UseCode0
FairGAT: Fairness-aware Graph Attention Networks—0
Farspredict: A benchmark dataset for link prediction—0
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph DatabasesCode1
Link Prediction for Flow-Driven Spatial NetworksCode1
Structural Imbalance Aware Graph Augmentation Learning—0
Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryCode2
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
IMF: Interactive Multimodal Fusion Model for Link PredictionCode1
Micro-video Tagging via Jointly Modeling Social Influence and Tag RelationCode0
NESS: Node Embeddings from Static SubGraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
Fitting Low-rank Models on Egocentrically Sampled Partial Networks—0
Towards a GML-Enabled Knowledge Graph PlatformCode0
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks—0
Diffusing Graph Attention—0
Asymmetric Learning for Graph Neural Network based Link Prediction—0
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link PredictionCode1
Argument Mining using BERT and Self-Attention based Embeddings—0
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionCode1
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks—0
Do We Really Need Complicated Model Architectures For Temporal Networks?—0
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning MethodCode0
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Link Prediction on Latent Heterogeneous GraphsCode1
Friend Ranking in Online Games via Pre-training Edge TransformersCode0
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal GraphsCode1
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings—0
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models—0
NNKGC: Improving Knowledge Graph Completion with Node NeighborhoodsCode0
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters—0
USER: Unsupervised Structural Entropy-based Robust Graph Neural NetworkCode0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search—0
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link PredictionCode1
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge GraphsCode1
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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