Code for paper https://arxiv.org/abs/2102.13186
☆41Apr 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 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65May 7, 2024Updated last year
- ☆14Dec 13, 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.
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated 2 months ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Dec 8, 2020Updated 5 years ago
- Code for paper "Towards Training GNNs using Explanation Directed Message Passing"☆16Feb 28, 2023Updated 3 years ago
- ☆98Jul 5, 2024Updated last year
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 4 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated last year
- This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense…☆14Jun 9, 2022Updated 3 years ago
- 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
- 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.
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Jun 16, 2025Updated 10 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Feb 19, 2024Updated 2 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Jun 25, 2022Updated 3 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
- MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (NeurIPS 2020 Demo)☆16Nov 27, 2020Updated 5 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆15Nov 27, 2023Updated 2 years ago
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago
- A list of Graph Causal Learning materials.☆211Jan 24, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This is code for “Upper Bounding Barlow Twins: A Novel Filter for Multi-relational Clustering” AAAI-24.☆12May 17, 2024Updated last year
- MAGIC: Multi-scAle heteroGeneity analysIs and Clustering☆14Jun 17, 2024Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 3 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆10Feb 28, 2023Updated 3 years ago
- Solutions to exercises in the book *Learn Physics with Functional Programming*☆11Mar 8, 2025Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Nov 29, 2022Updated 3 years ago
- ☆11Mar 8, 2024Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Oct 25, 2022Updated 3 years ago
- ☆10Mar 13, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- List of Publications in Graph Contrastive Learning☆35May 5, 2022Updated 3 years ago
- An awesome collection of causality-inspired graph neural networks.☆103Nov 30, 2024Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- This is anonymous repository for submitting our work to a conference☆14Dec 17, 2024Updated last year
- ☆13Dec 29, 2020Updated 5 years ago
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Apr 23, 2024Updated last year
- ☆20Dec 8, 2021Updated 4 years ago