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 16011625 of 1949 papers

TitleStatusHype
Geometric instability of graph neural networks on large graphsCode0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
GLEMOS: Benchmark for Instantaneous Graph Learning Model SelectionCode0
GNE: a deep learning framework for gene network inference by aggregating biological informationCode0
Gossip and Attend: Context-Sensitive Graph Representation LearningCode0
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and InteractionCode0
GraphAttacker: A General Multi-Task GraphAttack FrameworkCode0
Graph Attention for Heterogeneous Graphs with Positional EncodingCode0
Completing Networks by Learning Local Connection PatternsCode0
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network TrainingCode0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Graph Convolutional Networks with EigenPoolingCode0
Graph Edit NetworksCode0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
GraphFM: A Comprehensive Benchmark for Graph Foundation ModelCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Graphite: Iterative Generative Modeling of GraphsCode0
Graph Learning Network: A Structure Learning AlgorithmCode0
Graph Neighborhood Attentive PoolingCode0
Graph Perceiver IO: A General Architecture for Graph Structured DataCode0
GraphReach: Position-Aware Graph Neural Network using Reachability EstimationsCode0
Graph Representation Learning Network via Adaptive SamplingCode0
Graph Representation Learning via Ladder Gamma Variational AutoencodersCode0
Graph Star Net for Generalized Multi-Task LearningCode0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
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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