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 12761300 of 1949 papers

TitleStatusHype
EDoG: Adversarial Edge Detection For Graph Neural Networks0
Towards Semantically Enriched Embeddings for Knowledge Graph Completion0
Initialization for Network Embedding: A Graph Partition Approach0
Effective Decoding in Graph Auto-Encoder using Triadic Closure0
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks0
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation0
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings0
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings0
Trans4E: Link Prediction on Scholarly Knowledge Graphs0
Efficient and effective training of language and graph neural network models0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction0
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction0
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network0
Efficient inference of overlapping communities in complex networks0
Triple Classification for Scholarly Knowledge Graph Completion0
Trivial bundle embeddings for learning graph representations0
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs0
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism0
Efficient layout-aware pretraining for multimodal form understanding0
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks0
Efficiently Embedding Dynamic Knowledge Graphs0
Tutorial on NLP-Inspired Network Embedding0
Efficient Online Inference for Bayesian Nonparametric Relational Models0
Type-based Neural Link Prediction Adapter for Complex Query Answering0
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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