Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...

The decision comes after schools from various states raised concerns over technical glitches, data mismatches, and lack of parental consent in generating APAAR IDs for students The board clarified ...

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Abstract: Multiview anchor graph clustering has been a prominent research area in recent years, leading to the development of several effective and efficient methods. However, three challenges are ...

The Central Board of Secondary Education (CBSE) has released fresh guidelines for affiliated schools, reiterating strict compliance with deadlines for direct admissions and subject change requests in ...