How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
☆13Jul 24, 2022Updated 3 years ago
Alternatives and similar repositories for HeteRobust
Users that are interested in HeteRobust are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official code of GIND (Optimization-Induced Graph Implicit Nonlinear Diffusion)☆18Jun 29, 2022Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated last year
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Apr 23, 2024Updated 2 years ago
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆17Mar 16, 2022Updated 4 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 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.
- ☆31Oct 10, 2021Updated 4 years ago
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12May 21, 2024Updated 2 years ago
- MBCGCN☆16Oct 13, 2022Updated 3 years ago
- "GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation", SIGIR 2020☆21Jul 5, 2020Updated 5 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- ☆39Dec 1, 2021Updated 4 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 3 years ago
- ☆32May 2, 2023Updated 3 years ago
- ☆27Jul 22, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The official implementation of Convergent Graph Solvers (CGS)☆21Feb 1, 2022Updated 4 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated 2 years ago
- ☆12Sep 17, 2022Updated 3 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 3 years ago
- PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…☆14Feb 8, 2022Updated 4 years ago
- ☆12Jul 8, 2022Updated 3 years ago
- 🎵 Visualizing the network of music features☆17Aug 9, 2018Updated 7 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 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.
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Jun 11, 2021Updated 5 years ago
- virtual node analysis on ogb benchmark dataset☆14Mar 9, 2023Updated 3 years ago
- CIKM 2023, the code and datasets for PKEF.☆13Aug 28, 2023Updated 2 years ago
- This is anonymous repository for submitting our work to a conference☆14Dec 17, 2024Updated last year
- Truth Discovery Models☆11Aug 26, 2018Updated 7 years ago
- Source code for AAAI2023 "T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillatio…☆15Feb 10, 2023Updated 3 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23