PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
☆44Oct 6, 2023Updated 2 years ago
Alternatives and similar repositories for ChebNetII
Users that are interested in ChebNetII are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Aug 27, 2023Updated 3 years ago
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆19Mar 17, 2024Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The PyTorch version of ChebNet.☆40Dec 2, 2024Updated last year
- ☆142Jul 9, 2023Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆76Jul 26, 2023Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆35Jun 22, 2025Updated last year
- ☆36Jun 29, 2022Updated 4 years ago
- ☆14Dec 5, 2024Updated last year
- Code for paper 'Node-oriented Spectral Filtering for Graph Neural Networks'（TPAMI2024）☆15Mar 11, 2024Updated 2 years ago
- The source code of SpCo☆35May 17, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆12Mar 15, 2026Updated 6 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 3 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- ☆10Aug 13, 2021Updated 5 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆273Dec 4, 2024Updated last year
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆43Apr 6, 2024Updated 2 years ago
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆22Jul 15, 2025Updated last year
- ☆11Oct 20, 2022Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆129Jul 22, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Nov 19, 2018Updated 7 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- Graph based Knowledge Distillation: A Survey☆70Apr 26, 2023Updated 3 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆23Dec 14, 2023Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆23Jun 20, 2023Updated 3 years ago
- ☆13Nov 11, 2023Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Jun 11, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A tensorflow implementation of GCN-LPA☆98Feb 18, 2020Updated 6 years ago
- ☆19Dec 9, 2023Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆128Mar 7, 2023Updated 3 years ago
- ☆21Jun 13, 2023Updated 3 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Sep 27, 2022Updated 3 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- Notebooks to accompany sofroniew-vlasov-2015☆10May 18, 2019Updated 7 years ago