Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

LGNet: Linear Graph Representation for Efficient Cold-Start Recommendations

Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...
GitHub

A minimal Rust library for creating sparse vector representations using the BM25 algorithm. These vectors can be efficiently stored in vector databases like Qdrant for keyword ...

BM25 is a probabilistic ranking algorithm that calculates relevance scores between queries and documents based on term frequency and inverse document frequency. This library's implementation produces ...
IEEE

Discovering the Representation Bottleneck of Graph Neural Networks

Abstract: Graph neural networks (GNNs) rely mainly on the message-passing paradigm to propagate node features and build interactions, and different graph learning problems require different ranges of ...