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

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Showing 451–500 of 1949 papers

TitleStatusHype
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction—0
Dual Convolutional Neural Network for Graph of Graphs Link Prediction—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning—0
A Complex Network based Graph Embedding Method for Link Prediction—0
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search—0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
GAGE: Geometry Preserving Attributed Graph Embeddings—0
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction—0
Big Networks: A Survey—0
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning—0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network—0
Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction—0
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs—0
BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder—0
From communities to interpretable network and word embedding: an unified approach—0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
Do We Really Need Complicated Model Architectures For Temporal Networks?—0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs—0
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks—0
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach—0
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts—0
DSSLP: A Distributed Framework for Semi-supervised Link Prediction—0
Domain Representation for Knowledge Graph Embedding—0
Domain Generalization Deep Graph Transformation—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
FOBE and HOBE: First- and High-Order Bipartite Embeddings—0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
DURENDAL: Graph deep learning framework for temporal heterogeneous networks—0
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
DyExplainer: Explainable Dynamic Graph Neural Networks—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
DOLORES: Deep Contextualized Knowledge Graph Embeddings—0
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs—0
Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?—0
Node-Time Conditional Prompt Learning In Dynamic Graphs—0
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks—0
Bipartite Link Prediction based on Topological Features via 2-hop Path—0
Dynamic Graph Embedding via LSTM History Tracking—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
FMGNN: Fused Manifold Graph Neural Network—0
Forward Backward Similarity Search in Knowledge Networks—0
Document Network Projection in Pretrained Word Embedding Space—0
Dynamic Link and Flow Prediction in Bank Transfer Networks—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks—0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified