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Found 3 papers, 2 papers with code
Improving Transformers with Dynamically Composable Multi-Head Attention
At the core of DCMHA is a $\it{Compose}$ function that transforms the attention score and weight matrices in an input-dependent way.
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Knowledge graph embedding (KGE) models learn the representation of entities and relations in knowledge graphs.
Ranked #4 on
Link Property Prediction
on ogbl-wikikg2
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
When predicting PM2. 5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period.
