Cover Image

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Seo, Sangwoo, Kim, Sungwon, Jung, Jihyeong, Lee, Yoonho, Park, Chanyoung
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Prototype-based Graph Information Bottleneck
by: Seo, Sangwoo, et al.
Published: (2023)

Unsupervised Episode Generation for Graph Meta-learning
by: Jung, Jihyeong, et al.
Published: (2023)

Disentangling Hyperedges through the Lens of Category Theory
by: Lee, Yoonho, et al.
Published: (2025)

Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
by: Seo, Sangwoo, et al.
Published: (2025)

Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction
by: Seo, Sangwoo, et al.
Published: (2025)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)

Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
by: Kim, Hyunsung, et al.
Published: (2025)

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
by: Choi, Seungyoon, et al.
Published: (2024)

Subgraph Federated Learning for Local Generalization
by: Kim, Sungwon, et al.
Published: (2025)

Self-Guided Robust Graph Structure Refinement
by: In, Yeonjun, et al.
Published: (2024)

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
by: Kim, Hyunsung, et al.
Published: (2026)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
by: Oh, Yunhak, et al.
Published: (2025)

Training Robust Graph Neural Networks by Modeling Noise Dependencies
by: In, Yeonjun, et al.
Published: (2025)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
by: Yoon, Kanghoon, et al.
Published: (2024)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
by: Hoang, Van Thuy, et al.
Published: (2024)

Self-supervised Adversarial Purification for Graph Neural Networks
by: Lee, Woohyun, et al.
Published: (2026)

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
by: Kim, Yejin, et al.
Published: (2024)

Discrete Curvature Graph Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)

Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
by: Rao, Jiahua, et al.
Published: (2024)

Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)

Continual Traffic Forecasting via Mixture of Experts
by: Lee, Sanghyun, et al.
Published: (2024)

Debiasing Graph Representation Learning based on Information Bottleneck
by: Zhang, Ziyi, et al.
Published: (2024)

Amortized Probabilistic Detection of Communities in Graphs
by: Wang, Yueqi, et al.
Published: (2020)

Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
by: Kim, Hongeun, et al.
Published: (2025)

Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
by: Jung, Heesoo, et al.
Published: (2025)

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
by: Kim, Sungwon, et al.
Published: (2025)

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
by: Zheng, Kaizhong, et al.
Published: (2022)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
by: Chung, Chanyoung, et al.
Published: (2023)

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
by: Xie, Johnathan, et al.
Published: (2024)

Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach
by: Li, Lincan, et al.
Published: (2026)

Discovering the Representation Bottleneck of Graph Neural Networks
by: Wu, Fang, et al.
Published: (2022)

Graph Concept Bottleneck Models
by: Xu, Haotian, et al.
Published: (2025)

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
by: Jo, Hyeonsoo, et al.
Published: (2025)

STERLING: Synergistic Representation Learning on Bipartite Graphs
by: Jing, Baoyu, et al.
Published: (2023)

Data Transformation Strategies to Remove Heterogeneity
by: Yoo, Sangbong, et al.
Published: (2025)

AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
by: Lee, Seunghan, et al.
Published: (2026)

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
by: Yun, Sukwon, et al.
Published: (2025)

Self-Explainable Graph Transformer for Link Sign Prediction
by: Li, Lu, et al.
Published: (2024)