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 15261550 of 1949 papers

TitleStatusHype
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Enhancing Dense Retrievers' Robustness with Group-level ReweightingCode0
Do Similar Entities have Similar Embeddings?Code0
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document DeduplicationCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug RepurposingCode0
DRUM: End-To-End Differentiable Rule Mining On Knowledge GraphsCode0
Duality of Link Prediction and Entailment Graph InductionCode0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
DyG2Vec: Efficient Representation Learning for Dynamic GraphsCode0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
Dynamic Graph Representation Learning via Self-Attention NetworksCode0
Dynamic Network Embedding via Incremental Skip-gram with Negative SamplingCode0
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation LearningCode0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
DyRep: Learning Representations over Dynamic GraphsCode0
Edge Classification on Graphs: New Directions in Topological ImbalanceCode0
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning ModelCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
Efficient Link Prediction via GNN Layers Induced by Negative SamplingCode0
Efficient Neural Common Neighbor for Temporal Graph Link PredictionCode0
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming EventsCode0
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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
8ComplEx-N3 (reciprocal)Hits@100.96Unverified
9MEI (small)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