PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters This repository contains a PyTorch implementation of ICLR 2024 paper " PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable ...

Popular graph neural networks implement convolution operations on graphs based on polynomial spectral filters. In this paper, we propose a novel graph convolutional layer inspired by the ...

Recently, a research team from Hokkaido University made significant progress in the complexity study of the Hitting Geodesic Intervals (HGI) problem. The HGI problem aims to find a small set of ...

In this work, we propose the construction of two-channel wavelet filter banks for analyzing functions defined on the vertices of any arbitrary finite weighted undirected graph. These graph based ...

Graph Signal Processing in Python. Contribute to epfl-lts2/pygsp development by creating an account on GitHub.

CBSE Class 10 Assertion Reasoning Questions 2025 for Maths, Science, Social Science along with solution. Download Free PDF ...