PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
☆60Apr 23, 2023Updated 3 years ago
Alternatives and similar repositories for BernNet
Users that are interested in BernNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago
- ☆101Mar 22, 2021Updated 5 years ago
- How Powerful are Spectral Graph Neural Networks☆76Jul 26, 2023Updated 2 years ago
- ☆142Jul 9, 2023Updated 3 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.
- Official Code of Decoupled Graph Convolution (DGC)☆16Jan 31, 2026Updated 5 months ago
- ☆15Aug 27, 2023Updated 2 years ago
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Jul 8, 2022Updated 4 years ago
- Transformer-based Spectral Graph Neural Networks☆87Oct 7, 2024Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Jan 14, 2025Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 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
- ☆11Jun 6, 2023Updated 3 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.
- ☆13Nov 11, 2023Updated 2 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆19Mar 17, 2024Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆128Jul 22, 2022Updated 4 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 5 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Aug 22, 2023Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆23Dec 14, 2023Updated 2 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Jun 10, 2024Updated 2 years ago
- ☆14Dec 5, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆110Jun 18, 2025Updated last year
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10May 20, 2024Updated 2 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 4 years 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
- ☆19Apr 29, 2023Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- [TPAMI 2025] Official implementation of "Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting"☆19Feb 26, 2025Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 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.
- ☆19Dec 9, 2023Updated 2 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆22Nov 18, 2024Updated last year
- A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)☆17Feb 24, 2021Updated 5 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- A PyTorch implementation of the paper https://arxiv.org/abs/1709.04875☆10Jul 22, 2020Updated 6 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆22Nov 3, 2023Updated 2 years ago