GitHub

Subgraph-conditioned Graph Information Bottleneck

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
IEEE

Context-Aware Retrieval Augmented Generation Using Similarity Validation to Handle Context Inconsistencies in Large Language Models

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
GitHub

Simple, Practical, Single-Server Private Information Retrieval for Keyword Queries

ChalametPIR allows a client to retrieve a specific value from a key-value database, stored on a server, without revealing the requested key to the server. It uses Binary Fuse Filters to encode ...
IEEE

Retrieval of Sea Surface Wind Speed From CYGNSS Data in Tropical Cyclone Conditions Using Physics-Guided Artificial Neural Network and Storm-Centric Coordinate Information

Abstract: A novel artificial neural network (ANN) model is introduced for the retrieval of tropical cyclone (TC) sea surface wind speed from the Cyclone Global Navigation Satellite System (CYGNSS) ...