Code for paper https://arxiv.org/abs/2102.13186
☆42Apr 3, 2021Updated 5 years ago
Alternatives and similar repositories for nifty
Users that are interested in nifty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Aug 18, 2023Updated 3 years ago
- ☆27Jul 22, 2022Updated 4 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 4 years ago
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65May 7, 2024Updated 2 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 6 years ago
- ☆14Jul 22, 2026Updated last month
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Dec 8, 2020Updated 5 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 5 years ago
- Code for paper "Towards Training GNNs using Explanation Directed Message Passing"☆16Feb 28, 2023Updated 3 years ago
- ☆99Jul 5, 2024Updated 2 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated 2 years ago
- This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense…☆12Jun 9, 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.
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Feb 13, 2021Updated 5 years ago
- Papers on fairness☆12Oct 20, 2020Updated 5 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆175Feb 19, 2024Updated 2 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Jun 25, 2022Updated 4 years ago
- Course Project for CS224W at Stanford☆23Dec 10, 2021Updated 4 years ago
- Public Codebase supporting the paper "Modeling Cellular Perturbations with The Sparse Additive Mechanism Shift Variational Autoencoder" b…☆16Oct 20, 2023Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- ☆11Oct 25, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Automatic diagnosis of alzheimer☆11Apr 19, 2019Updated 7 years ago
- This is code for “Upper Bounding Barlow Twins: A Novel Filter for Multi-relational Clustering” AAAI-24.☆12May 17, 2024Updated 2 years ago
- MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (NeurIPS 2020 Demo)☆16Nov 27, 2020Updated 5 years ago
- MAGIC: Multi-scAle heteroGeneity analysIs and Clustering☆14Jun 17, 2024Updated 2 years ago
- A list of Graph Causal Learning materials.☆212Jan 24, 2025Updated last year
- Code for paper [Explaining image classifiers by removing input features using generative models] [ACCV 2020] https://arxiv.org/abs/1910.0…☆15Nov 22, 2022Updated 3 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆16Nov 27, 2023Updated 2 years ago
- get pcap feature☆10Sep 24, 2018Updated 7 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 4 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.
- Data for the NeurIPS 2021 paper [The effectiveness of feature attribution methods and its correlation with automatic evaluation scores] …☆18Jan 17, 2023Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Oct 25, 2022Updated 3 years ago
- ☆14Nov 2, 2023Updated 2 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆11Feb 28, 2023Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆139Nov 29, 2022Updated 3 years ago
- List of Publications in Graph Contrastive Learning☆35May 5, 2022Updated 4 years ago
- Solutions to exercises in the book *Learn Physics with Functional Programming*☆11Mar 8, 2025Updated last year