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 376400 of 1949 papers

TitleStatusHype
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Neural Graph Collaborative FilteringCode1
Beyond Message Passing: Neural Graph Pattern MachineCode1
Neural Link Prediction with Walk PoolingCode1
NeuralLog: a Neural Logic LanguageCode1
New Frontiers in Graph Autoencoders: Joint Community Detection and Link PredictionCode1
node2vec: Scalable Feature Learning for NetworksCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
A Unified Lottery Ticket Hypothesis for Graph Neural NetworksCode1
Dynamic Graph Information BottleneckCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphsCode1
Parameter-free Dynamic Graph Embedding for Link PredictionCode1
Perception-Inspired Graph Convolution for Music Understanding TasksCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding ReasoningCode1
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
An AMR-based Link Prediction Approach for Document-level Event Argument ExtractionCode1
Graph Neural Networks for Link Prediction with Subgraph SketchingCode1
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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