bwilder0 / fair_influmax_code_releaseLinks
Code for the paper "Group-Fairness in Influence Maximization"
☆26Updated 6 years ago
Alternatives and similar repositories for fair_influmax_code_release
Users that are interested in fair_influmax_code_release are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of Online Influence Maximization under Linear Threshold Model.☆15Updated 5 years ago
- ☆46Updated 2 years ago
- ☆114Updated 2 years ago
- Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…☆30Updated 3 years ago
- Influence Maximization Paper List☆11Updated 3 years ago
- ☆30Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- ☆11Updated 5 years ago
- Implementation of Greedy, CELF++, SPIN, IV-Greedy, Degree Discount algorithms for influence maximization in social network and informatio…☆59Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Updated 2 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13Updated 9 months ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆90Updated last year
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆26Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Updated 3 years ago
- DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)☆15Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Paper List for Fair Graph Learning (FairGL).☆144Updated last year
- An influence maximization model based on various centrality measurement methods and IC model☆39Updated 6 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆42Updated 4 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆41Updated 3 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated 4 months ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 4 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Updated 8 months ago
- A paper collection about automated graph learning☆99Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Updated 2 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆98Updated 2 years ago
- Code for Influence Maximization Problem☆30Updated 8 years ago