Pytorch implementation of EvenNet.
☆20Oct 25, 2022Updated 3 years ago
Alternatives and similar repositories for EvenNet
Users that are interested in EvenNet 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 "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago
- ☆14Dec 5, 2024Updated last year
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- ☆11Jun 6, 2023Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 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
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Feb 23, 2022Updated 4 years ago
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆14Mar 19, 2024Updated 2 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆20Oct 27, 2021Updated 4 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Jul 18, 2023Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Jul 15, 2021Updated 4 years ago
- ☆13Aug 27, 2023Updated 2 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Jan 14, 2025Updated last year
- ☆140Jul 9, 2023Updated 2 years ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆13Dec 8, 2023Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 2 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆18Mar 17, 2024Updated 2 years ago
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆21Jul 15, 2025Updated 8 months ago
- ☆22Oct 14, 2022Updated 3 years ago
- The implementation for DropMessage.☆23Mar 9, 2023Updated 3 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 2 years ago