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 16511675 of 1949 papers

TitleStatusHype
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding0
Revisiting Knowledge Base Embedding as Tensor Decomposition0
End-to-End Learning of Probabilistic Hierarchies on Graphs0
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning0
GAGE: Geometry Preserving Attributed Graph Embeddings0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs0
GANE: A Generative Adversarial Network Embedding0
GANExplainer: GAN-based Graph Neural Networks Explainer0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations0
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering0
Gaussian Process Models for Link Analysis and Transfer Learning0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding0
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction0
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings0
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production0
Encoding Temporal Information for Time-Aware Link Prediction0
Generalized Reciprocal Perspective0
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction0
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules0
Generating Human Understandable Explanations for Node Embeddings0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness0
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning0
Revisiting Virtual Nodes in Graph Neural Networks for Link Prediction0
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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