Graph Ranking
4 papers with code • 4 benchmarks • 1 datasets
Most implemented papers
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs
The high-level decoding generates an AQG as a constraint to prune the search space and reduce the locally ambiguous query graph.
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
In this paper, we conduct an empirical investigation of neural query graph ranking approaches for the task of complex question answering over knowledge graphs.
Ranking Structured Objects with Graph Neural Networks
Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks.