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 351400 of 1949 papers

TitleStatusHype
Enhancing Cross-domain Link Prediction via Evolution Process Modeling0
Towards Neural Scaling Laws on GraphsCode0
GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningCode2
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs0
Type-based Neural Link Prediction Adapter for Complex Query Answering0
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning0
LPNL: Scalable Link Prediction with Large Language Models0
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Disentangled Condensation for Large-scale GraphsCode1
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendationCode0
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion0
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks0
Predicting the structure of dynamic graphs0
Effective backdoor attack on graph neural networks in link prediction tasks0
DocGraphLM: Documental Graph Language Model for Information Extraction0
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature0
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures0
RDF-star2Vec: RDF-star Graph Embeddings for Data MiningCode0
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network TrainingCode0
Continuous-time Graph Representation with Sequential Survival Process0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Do Similar Entities have Similar Embeddings?Code0
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks0
NestE: Modeling Nested Relational Structures for Knowledge Graph ReasoningCode0
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning0
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionCode0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem0
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction0
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
On the Initialization of Graph Neural NetworksCode0
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
Normed Spaces for Graph EmbeddingCode0
A Review of Link Prediction Applications in Network Biology0
Knowledge Graph Reasoning Based on Attention GCN0
Location Sensitive Embedding for Knowledge Graph Reasoning0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers0
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic GraphsCode0
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world NetworksCode0
Cross-View Graph Consistency Learning for Invariant Graph RepresentationsCode0
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks0
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs0
Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors0
Edge2Node: Reducing Edge Prediction to Node Classification0
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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