Image de couverture de livre

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiong, Jiafeng, Sakellariou, Rizos
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Trajectory Encoding Temporal Graph Networks
par: Xiong, Jiafeng, et autres
Publié: (2025)

A Survey of Link Prediction in Temporal Networks
par: Xiong, Jiafeng, et autres
Publié: (2025)

Learning Fair Graph Representations with Multi-view Information Bottleneck
par: Liu, Chuxun, et autres
Publié: (2025)

GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
par: Li, Shuangjie, et autres
Publié: (2024)

Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
par: Shou, Yuntao, et autres
Publié: (2024)

Dynamic Graph Information Bottleneck
par: Yuan, Haonan, et autres
Publié: (2024)

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
par: Mao, Wenyu, et autres
Publié: (2024)

Discovering the Representation Bottleneck of Graph Neural Networks
par: Wu, Fang, et autres
Publié: (2022)

Molecular Graph Representation Learning via Structural Similarity Information
par: Yao, Chengyu, et autres
Publié: (2024)

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
par: Dong, Hao, et autres
Publié: (2023)

EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
par: Zhong, Haodi, et autres
Publié: (2025)

IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning
par: Zou, Xiandong, et autres
Publié: (2025)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
par: Wang, Xiangmeng, et autres
Publié: (2026)

Interpretable Prototype-based Graph Information Bottleneck
par: Seo, Sangwoo, et autres
Publié: (2023)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
par: Duan, Wei, et autres
Publié: (2026)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
par: Sun, Jinze, et autres
Publié: (2024)

Graph Propagation Transformer for Graph Representation Learning
par: Chen, Zhe, et autres
Publié: (2023)

Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning
par: Zhang, Jinchuan, et autres
Publié: (2023)

Learning Granularity Representation for Temporal Knowledge Graph Completion
par: Zhang, Jinchuan, et autres
Publié: (2024)

Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning
par: Hua, Chenqing
Publié: (2024)

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
par: Wu, Lirong, et autres
Publié: (2024)

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
par: Deng, Gangda, et autres
Publié: (2024)

SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
par: Zou, Xiaobei, et autres
Publié: (2023)

TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
par: Gupta, Nikunj, et autres
Publié: (2025)

GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
par: Van Langendonck, Louis, et autres
Publié: (2025)

Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning
par: Lachi, Divyansha, et autres
Publié: (2025)

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
par: Hoang, Van Thuy, et autres
Publié: (2024)

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
par: Su, Guangxin, et autres
Publié: (2024)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
par: Ke, Songyu, et autres
Publié: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
par: Wang, Ling, et autres
Publié: (2024)

Knowledge Probing for Graph Representation Learning
par: Zhao, Mingyu, et autres
Publié: (2024)

Disentangled Generative Graph Representation Learning
par: Hu, Xinyue, et autres
Publié: (2024)

Prompt Learning on Temporal Interaction Graphs
par: Chen, Xi, et autres
Publié: (2024)

Graph-level Protein Representation Learning by Structure Knowledge Refinement
par: Wang, Ge, et autres
Publié: (2024)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
par: Su, Junwei, et autres
Publié: (2024)

Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
par: Nyberg, Jakob, et autres
Publié: (2025)

Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation
par: Li, Jie, et autres
Publié: (2025)

Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
par: Yu, He, et autres
Publié: (2025)

'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning
par: Roy, Shubhajit, et autres
Publié: (2026)

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
par: Chen, Qian, et autres
Publié: (2024)