Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
☆46Jun 10, 2021Updated 5 years ago
Alternatives and similar repositories for gnn-spectral-expressive-power
Users that are interested in gnn-spectral-expressive-power are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- ☆142Jul 9, 2023Updated 3 years ago
- ☆22Oct 14, 2022Updated 3 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 2 years ago
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated 11 months ago
- HERMES: A software package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent …☆22Mar 4, 2024Updated 2 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Feb 27, 2021Updated 5 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Jul 10, 2022Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆49Aug 6, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆11Nov 8, 2023Updated 2 years ago
- This project is lead by Dr Wei Shao☆15Nov 19, 2024Updated last year
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆36Mar 3, 2021Updated 5 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Jul 25, 2022Updated 4 years ago
- How Powerful are Spectral Graph Neural Networks☆76Jul 26, 2023Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Oct 17, 2023Updated 2 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
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆12Mar 15, 2026Updated 5 months ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Jan 11, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆39Sep 23, 2021Updated 4 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- Efficient Approximate Page Rank Algorithm (based on “Local graph partitioning using PageRank vectors” by Andersen, Chung, and Lang)☆10Apr 14, 2014Updated 12 years ago
- ☆19Mar 25, 2025Updated last year
- ☆21Jun 15, 2021Updated 5 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Feb 23, 2022Updated 4 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 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.
- ☆14May 22, 2017Updated 9 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆100Apr 25, 2022Updated 4 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆165Nov 28, 2023Updated 2 years ago
- ☆36Jun 29, 2022Updated 4 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Dec 18, 2023Updated 2 years ago