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 851900 of 1949 papers

TitleStatusHype
Torsion Graph Neural NetworksCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Variational Disentangled Graph Auto-Encoders for Link Prediction0
Dual Node and Edge Fairness-Aware Graph Partition0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
Exploring and Verbalizing Academic Ideas by Concept Co-occurrenceCode0
Shrinking Embeddings for Hyper-Relational Knowledge GraphsCode0
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction0
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document DeduplicationCode0
Modeling Dynamic Environments with Scene Graph Memory0
NODDLE: Node2vec based deep learning model for link prediction0
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding0
Self-Explainable Graph Neural Networks for Link Prediction0
Domain Generalization Deep Graph Transformation0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach0
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs0
Few-shot Link Prediction on N-ary Facts0
Zoo Guide to Network Embedding0
Structural Group Unfairness: Measurement and Mitigation by means of the Effective ResistanceCode0
EnhancE:Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction0
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking ProblemCode0
Connector 0.5: A unified framework for graph representation learningCode0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness0
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer0
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks0
Transition Propagation Graph Neural Networks for Temporal NetworksCode0
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesCode0
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering0
FMGNN: Fused Manifold Graph Neural Network0
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 Networks0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
A source separation approach to temporal graph modelling for computer networksCode0
Knowledge Enhanced Graph Neural Networks for Graph Completion0
CoCon: A Data Set on Combined Contextualized Research Artifact UseCode0
Farspredict: A benchmark dataset for link prediction0
FairGAT: Fairness-aware Graph Attention Networks0
Structural Imbalance Aware Graph Augmentation Learning0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding0
Micro-video Tagging via Jointly Modeling Social Influence and Tag RelationCode0
Fitting Low-rank Models on Egocentrically Sampled Partial Networks0
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks0
Towards a GML-Enabled Knowledge Graph PlatformCode0
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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