over 6000 assets (including all Forex pairs, Cryptocurrencies, Commodities, Indices and US stocks) unique interbank rates extensive historic data the option to save your configuration Here below ...

Compared with existing heterogeneous GNN models, HAGNN can take full advantage of the heterogeneity in heterogeneous graphs. Extensive experimental results on node classification, node clustering, and ...

It works based on mutual information between different augmented graph views generated by perturbing its nodes, edges, and features. Although this approach is promising and eliminates the necessity of ...

Given the lack of appropriate solutions to these issues, this study proposes a novel heterogeneous graph federated learning framework (HGFL+) based on self-simulation and meta-model aggregation, which ...

The output of the knowledge graph can be used in downstream applications, like RAG, etc. Link for the human-LLM collaborative interface: Docs2KG After the annotation, metrics to evaluate the quality ...

[09/01/2025] Efficient Graph Condensation via Gaussian Process (Lin Wang et al. Arxiv'25) [09/01/2025] GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection (Saba Fathi ...