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 751775 of 1949 papers

TitleStatusHype
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks0
NestE: Modeling Nested Relational Structures for Knowledge Graph ReasoningCode0
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionCode0
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem0
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs0
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
On the Initialization of Graph Neural NetworksCode0
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
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
Causal Question Answering with Reinforcement LearningCode0
Cooperative Network Learning for Large-Scale and Decentralized GraphsCode0
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach0
Community Detection Guarantees Using Embeddings Learned by Node2Vec0
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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