AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
GitHub

Custom embedding match Threshold value for closest node in the graph while ingesting a new node.

There should be a custom config for defining threshold value of embedding match during fetching of a shortest node while ingesting a new node in graph using mem0. This will help for different usecases ...
GitHub

[Question]:Relational query across multi-level Knowledge Graph nodes (SRS → SSRS → SDR → SWS) not returning expected results

I’m using the LightRAG GitHub code (latest main branch) with Azure OpenAI LLM and embeddings, connected to a PostgreSQL database. I have successfully uploaded several documents into the Knowledge Base ...
IEEE

Reordering Graphs for Node Embedding

Abstract: The complex connectivity patterns inherent in graphs are the biggest obstacle to applying ML algorithms, which are perfected for tabular data, to graphs. Graph embedding converts each node ...
IEEE

Unsupervised Inductive Node Representation Learning for Dynamic Graphs

Abstract: Graph-structured data are pivotal for modeling evolving systems such as social interactions or biological networks. While graph embedding techniques map nodes into low-dimensional spaces to ...
Frontiers

EEG-based epilepsy detection with graph correlation analysis

1 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China 2 School of Information Engineering, East University of Heilongjiang, Harbin, China Recognizing ...
Scientific Research Publishing

A Maritime Document Knowledge Graph Construction Method Based on Conceptual Proximity Relations ()

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. The cost and strict input format requirements of GraphRAG make it less ...
Frontiers

ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs

With graph reachability query, one can answer whether there exists a path between two query vertices in a given graph. The existing reachability query processing solutions use traditional reachability ...