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 1451–1500 of 1949 papers

TitleStatusHype
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation—0
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors—0
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts—0
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search—0
Personalized Bundle Recommendation in Online Games—0
PersonaSAGE: A Multi-Persona Graph Neural Network—0
Perturbation Ontology based Graph Attention Networks—0
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks—0
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction—0
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction—0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations—0
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs—0
Poincaré Wasserstein Autoencoder—0
Big Networks: A Survey—0
Polar Embedding—0
Topic-Partitioned Multinetwork Embeddings—0
Topological and Semantic Graph-based Author Disambiguation on DBLP Data in Neo4j—0
Adversarial Classifier for Imbalanced Problems—0
Power Efficient Discontinuous Reception in THz and mmWave Wireless Systems—0
PPKE: Knowledge Representation Learning by Path-based Pre-training—0
PPPNE: Personalized proximity preserved network embedding—0
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method—0
Predict Anchor Links across Social Networks via an Embedding Approach—0
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning—0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network—0
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder—0
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion—0
A Discriminative Topic Model using Document Network Structure—0
Predicting Links on Wikipedia with Anchor Text Information—0
5* Knowledge Graph Embeddings with Projective Transformations—0
Predicting missing links via correlation between nodes—0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks—0
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs—0
Predicting the structure of dynamic graphs—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Premise Selection in Natural Language Mathematical Texts—0
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)—0
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks—0
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets—0
Pre-training Tasks for Embedding-based Large-scale Retrieval—0
Pretrain-KGEs: Learning Knowledge Representation from Pretrained Models for Knowledge Graph Embeddings—0
Differentially Private Link Prediction With Protected Connections—0
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective—0
Privacy Shadow: Measuring Node Predictability and Privacy Over Time—0
Toward Edge-Centric Network Embeddings—0
Prix-LM: Pretraining for Multilingual Knowledge Base Construction—0
BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT—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