Saved in:
| Main Authors: | Wang, Yufeng, Bai, Yiguang, Zhu, Tianqing, Ayed, Ismail Ben, Yuan, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.22684 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
by: Kariotakis, Emmanouil, et al.
Published: (2026)
by: Kariotakis, Emmanouil, et al.
Published: (2026)
DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning
by: Saxena, Akrati, et al.
Published: (2025)
by: Saxena, Akrati, et al.
Published: (2025)
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)
by: Liu, Jiaxin, et al.
Published: (2025)
A Benchmark for Fairness-Aware Graph Learning
by: Dong, Yushun, et al.
Published: (2024)
by: Dong, Yushun, et al.
Published: (2024)
Fairness-aware PageRank via Edge Reweighting
by: Wang, Honglian, et al.
Published: (2025)
by: Wang, Honglian, et al.
Published: (2025)
Learning on Large Graphs using Intersecting Communities
by: Finkelshtein, Ben, et al.
Published: (2024)
by: Finkelshtein, Ben, et al.
Published: (2024)
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
by: Ghodsi, Siamak, et al.
Published: (2024)
by: Ghodsi, Siamak, et al.
Published: (2024)
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
by: Zhan, Duna, et al.
Published: (2024)
by: Zhan, Duna, et al.
Published: (2024)
Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
by: Xu, Paiheng, et al.
Published: (2023)
by: Xu, Paiheng, et al.
Published: (2023)
HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
by: Jiang, Lin, et al.
Published: (2025)
by: Jiang, Lin, et al.
Published: (2025)
Fairness and/or Privacy on Social Graphs
by: Surma, Bartlomiej, et al.
Published: (2025)
by: Surma, Bartlomiej, et al.
Published: (2025)
Graph Fairness Learning under Distribution Shifts
by: Li, Yibo, et al.
Published: (2024)
by: Li, Yibo, et al.
Published: (2024)
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)
by: Gholinejad, Nemat, et al.
Published: (2024)
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
by: Loveland, Donald, et al.
Published: (2024)
by: Loveland, Donald, et al.
Published: (2024)
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
by: Lee, Yeon-Chang, et al.
Published: (2024)
by: Lee, Yeon-Chang, et al.
Published: (2024)
A Semidefinite Relaxation Approach for Fair Graph Clustering
by: Baharlouei, Sina, et al.
Published: (2024)
by: Baharlouei, Sina, et al.
Published: (2024)
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
by: Li, Yicong, et al.
Published: (2024)
by: Li, Yicong, et al.
Published: (2024)
When the Server Steps In: Calibrated Updates for Fair Federated Learning
by: Yu, Tianrun, et al.
Published: (2026)
by: Yu, Tianrun, et al.
Published: (2026)
Longitudinal Modularity, a Modularity for Link Streams
by: Brabant, Victor, et al.
Published: (2024)
by: Brabant, Victor, et al.
Published: (2024)
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)
by: Yu, Xincan, et al.
Published: (2024)
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
by: Anakok, Emre, et al.
Published: (2024)
by: Anakok, Emre, et al.
Published: (2024)
Towards Faster Graph Partitioning via Pre-training and Inductive Inference
by: Qin, Meng, et al.
Published: (2024)
by: Qin, Meng, et al.
Published: (2024)
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
by: Chang, Wenjing, et al.
Published: (2024)
by: Chang, Wenjing, et al.
Published: (2024)
Model-Agnostic Fairness Regularization for GNNs with Incomplete Sensitive Information
by: Kejani, Mahdi Tavassoli, et al.
Published: (2025)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2025)
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
by: Finkelshtein, Ben, et al.
Published: (2025)
by: Finkelshtein, Ben, et al.
Published: (2025)
Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity
by: Brabant, Victor, et al.
Published: (2025)
by: Brabant, Victor, et al.
Published: (2025)
BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)
by: Lin, Xiao, et al.
Published: (2023)
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
by: Dwork, Cynthia, et al.
Published: (2024)
by: Dwork, Cynthia, et al.
Published: (2024)
Edge Classification on Graphs: New Directions in Topological Imbalance
by: Cheng, Xueqi, et al.
Published: (2024)
by: Cheng, Xueqi, et al.
Published: (2024)
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations
by: Nijdam, Thijmen, et al.
Published: (2024)
by: Nijdam, Thijmen, et al.
Published: (2024)
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
by: Mattos, João, et al.
Published: (2025)
by: Mattos, João, et al.
Published: (2025)
Neural Acceleration for Graph Partitioning
by: Booth, Joshua Dennis, et al.
Published: (2026)
by: Booth, Joshua Dennis, et al.
Published: (2026)
MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
by: Panayiotou, Georgios, et al.
Published: (2025)
by: Panayiotou, Georgios, et al.
Published: (2025)
Recovering Small Communities in the Planted Partition Model
by: Gösgens, Martijn, et al.
Published: (2025)
by: Gösgens, Martijn, et al.
Published: (2025)
Endowing Pre-trained Graph Models with Provable Fairness
by: Zhang, Zhongjian, et al.
Published: (2024)
by: Zhang, Zhongjian, et al.
Published: (2024)
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
by: Oettershagen, Lutz, et al.
Published: (2025)
by: Oettershagen, Lutz, et al.
Published: (2025)
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
by: Sato, Ryoma
Published: (2023)
by: Sato, Ryoma
Published: (2023)
Similar Items
-
FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
by: Kariotakis, Emmanouil, et al.
Published: (2026) -
DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning
by: Saxena, Akrati, et al.
Published: (2025) -
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025) -
A Benchmark for Fairness-Aware Graph Learning
by: Dong, Yushun, et al.
Published: (2024) -
Fairness-aware PageRank via Edge Reweighting
by: Wang, Honglian, et al.
Published: (2025)