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 76100 of 1949 papers

TitleStatusHype
Rethinking Link Prediction for Directed GraphsCode0
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential DynamicsCode0
Graph Neural Networks for O-RAN Mobility Management: A Link Prediction Approach0
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised LearningCode0
Spectro-Riemannian Graph Neural Networks0
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph EmbeddingsCode0
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected0
Beyond Message Passing: Neural Graph Pattern MachineCode1
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks0
Random Walk Guided Hyperbolic Graph DistillationCode0
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks0
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic GraphsCode0
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph LearningCode0
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning0
HyperQuery: Beyond Binary Link Prediction0
Graph Contrastive Learning on Multi-label Classification for Recommendations0
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks0
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
Efficient Relational Context Perception for Knowledge Graph Completion0
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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