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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 1949 papers

TitleStatusHype
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc NetworksCode0
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction—0
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses—0
Structural Alignment in Link PredictionCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
Understanding the Mechanisms Behind Structural Influences on Link Prediction: A Case Study on FB15k-237—0
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling—0
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningCode0
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs—0
MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight PredictionCode0
A Novel Graph Transformer Framework for Gene Regulatory Network Inference—0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
Trajectory Encoding Temporal Graph NetworksCode0
Transfer Learning for Temporal Link PredictionCode0
GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction—0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association PredictionCode0
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks—0
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link PredictionCode0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
Knowledge Graph Completion with Mixed Geometry Tensor FactorizationCode0
Graph Attention for Heterogeneous Graphs with Positional EncodingCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Comparison of Metadata Representation Models for Knowledge Graph Embeddings—0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)Code0
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models—0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder—0
Matrix Factorization for Inferring Associations and Missing Links—0
The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks—0
Leap: Inductive Link Prediction via Learnable TopologyAugmentationCode0
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees—0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
Adversarial network embedding with bootstrapped representations for sparse networksCode0
A Survey of Link Prediction in Temporal Networks—0
Make Literature-Based Discovery Great Again through Reproducible PipelinesCode0
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Evaluating link prediction: New perspectives and recommendations—0
LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs—0
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations—0
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems—0
Graph Neural Networks at a Fraction—0
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 Approach—0
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised LearningCode0
Spectro-Riemannian Graph Neural Networks—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