Image de couverture de livre

Robust Ante-hoc Graph Explainer using Bilevel Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Luong, Kha-Dinh, Kosan, Mert, Da Silva, Arlei Lopes, Singh, Ambuj
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
par: Mattos, João, et autres
Publié: (2024)

Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision
par: Pirhayati, Delaram, et autres
Publié: (2025)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
par: Sharma, Saurabh, et autres
Publié: (2024)

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
par: Kosan, Mert, et autres
Publié: (2023)

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
par: Wang, Danqing, et autres
Publié: (2024)

Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
par: Mattos, João, et autres
Publié: (2025)

Robust Graph Contrastive Learning with Information Restoration
par: Zhu, Yulin, et autres
Publié: (2023)

GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
par: Wu, Tao, et autres
Publié: (2024)

Compute the edge p-Laplacian centrality for air traffic network
par: Tran, Loc Hoang, et autres
Publié: (2025)

Graph Bayesian Optimization for Multiplex Influence Maximization
par: Yuan, Zirui, et autres
Publié: (2024)

Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
par: Wu, Tao, et autres
Publié: (2024)

HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
par: Mao, Xuqi, et autres
Publié: (2025)

Topologically-Stabilized Graph Neural Networks: Empirical Robustness Across Domains
par: Losic, Jelena
Publié: (2025)

Expertise and confidence explain how social influence evolves along intellective tasks
par: Askarisichani, Omid, et autres
Publié: (2020)

Learning on Large Graphs using Intersecting Communities
par: Finkelshtein, Ben, et autres
Publié: (2024)

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
par: Evdaimon, Iakovos, et autres
Publié: (2024)

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
par: Yuan, Ziqi, et autres
Publié: (2024)

Transferability of Graph Neural Networks using Graphon and Sampling Theories
par: Neuman, A. Martina, et autres
Publié: (2023)

Interactive Event Sifting using Bayesian Graph Neural Networks
par: Nascimento, José, et autres
Publié: (2024)

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
par: Gholinejad, Nemat, et autres
Publié: (2024)

Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks
par: Srivastava, Ajitesh, et autres
Publié: (2025)

Efficient Learning on Large Graphs using a Densifying Regularity Lemma
par: Kouchly, Jonathan, et autres
Publié: (2025)

Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
par: Carocci, Luca Silvano, et autres
Publié: (2024)

No Place for Old Memes: Large-scale Collective Dynamics in the Three Iterations of Reddit r/place
par: Wu, Yutong, et autres
Publié: (2024)

Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
par: Ghosh, Hritaban, et autres
Publié: (2024)

Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
par: Khatami, Seyedeh Baharan, et autres
Publié: (2024)

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields
par: Abbahaddou, Yassine, et autres
Publié: (2024)

Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
par: Li, Zehui, et autres
Publié: (2023)

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
par: Vo, Vy, et autres
Publié: (2023)

Incorporating Heterophily into Graph Neural Networks for Graph Classification
par: Yang, Jiayi, et autres
Publié: (2022)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
par: Zhou, Cai, et autres
Publié: (2024)

Emergence of Phase Transitions in Complex Contagions
par: Sharma, Saurabh, et autres
Publié: (2026)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
par: Lv, Rui, et autres
Publié: (2025)

GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
par: Porcedda, Riccardo, et autres
Publié: (2026)

A Unified Graph Selective Prompt Learning for Graph Neural Networks
par: Jiang, Bo, et autres
Publié: (2024)

What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
par: Zheng, Yilun, et autres
Publié: (2024)

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
par: Wen, Zichen, et autres
Publié: (2024)

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
par: He, Yufei, et autres
Publié: (2024)

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
par: Lee, Soo Yong, et autres
Publié: (2024)

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
par: Zhu, Chaofan, et autres
Publié: (2025)