Image de couverture de livre

Feedback Control for Multi-Objective Graph Self-Supervision

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Grover, Karish, Vasiloudis, Theodore, Xie, Han, Lu, Sixing, Song, Xiang, Faloutsos, Christos
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
par: Grover, Karish, et autres
Publié: (2025)

Spectro-Riemannian Graph Neural Networks
par: Grover, Karish, et autres
Publié: (2025)

Text Has Curvature
par: Grover, Karish, et autres
Publié: (2026)

Dynamic Mixture-of-Experts for Incremental Graph Learning
par: Kong, Lecheng, et autres
Publié: (2025)

Deal: Distributed End-to-End GNN Inference for All Nodes
par: Chen, Shiyang, et autres
Publié: (2025)

Empowering GNNs for Domain Adaptation via Denoising Target Graph
par: Yu, Haiyang, et autres
Publié: (2025)

GraphStorm: all-in-one graph machine learning framework for industry applications
par: Zheng, Da, et autres
Publié: (2024)

FraudFox: Adaptable Fraud Detection in the Real World
par: Butler, Matthew, et autres
Publié: (2026)

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
par: Zhu, Jing, et autres
Publié: (2023)

FRAUDGUESS: Spotting and Explaining New Types of Fraud in Million-Scale Financial Data
par: Cordeiro, Robson L. F., et autres
Publié: (2025)

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
par: Park, Namyong, et autres
Publié: (2024)

McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets
par: Vinces, Braulio V. Sánchez, et autres
Publié: (2024)

NetEffect: Discovery and Exploitation of Generalized Network Effects
par: Lee, Meng-Chieh, et autres
Publié: (2022)

Dependency Aware Incident Linking in Large Cloud Systems
par: Ghosh, Supriyo, et autres
Publié: (2024)

Understanding Self-supervised Contrastive Learning through Supervised Objectives
par: Lee, Byeongchan
Publié: (2025)

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
par: Song, Yu, et autres
Publié: (2025)

EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series
par: Hossain, Mst. Shamima, et autres
Publié: (2024)

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
par: Yuan, Jin, et autres
Publié: (2022)

Probe-then-Commit Multi-Objective Bandits: Theoretical Benefits of Limited Multi-Arm Feedback
par: Shi, Ming
Publié: (2026)

Exploring Correlations of Self-Supervised Tasks for Graphs
par: Fang, Taoran, et autres
Publié: (2024)

Self-Supervised Graph Embedding Clustering
par: Li, Fangfang, et autres
Publié: (2024)

NetInfoF Framework: Measuring and Exploiting Network Usable Information
par: Lee, Meng-Chieh, et autres
Publié: (2024)

Pure Exploration with Feedback Graphs
par: Russo, Alessio, et autres
Publié: (2025)

Uncovering Cross-Objective Interference in Multi-Objective Alignment
par: Lu, Yining, et autres
Publié: (2026)

Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
par: Xie, Shifeng, et autres
Publié: (2025)

Guarding the Meaning: Self-Supervised Training for Semantic Robustness in Guard Models
par: Pinneri, Cristina, et autres
Publié: (2025)

Learning Equilibria in Matching Games with Bandit Feedback
par: Athanasopoulos, Andreas, et autres
Publié: (2025)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
par: Deng, Jiewen, et autres
Publié: (2024)

Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems
par: Seiler, Moritz Vinzent, et autres
Publié: (2024)

Merge and Guide: Unifying Model Merging and Guided Decoding for Controllable Multi-Objective Generation
par: Xie, Guofu, et autres
Publié: (2025)

Graph Feedback Bandits with Similar Arms
par: Qi, Han, et autres
Publié: (2024)

GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs
par: Reynisson, Kristófer, et autres
Publié: (2024)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
par: Liang, Jiaming, et autres
Publié: (2024)

C-MORAL: Controllable Multi-Objective Molecular Optimization with Reinforcement Alignment for LLMs
par: Gao, Rui, et autres
Publié: (2026)

Semi-Supervised Preference Optimization with Limited Feedback
par: Lee, Seonggyun, et autres
Publié: (2025)

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
par: Li, Shijun, et autres
Publié: (2024)

Knowledge-Aware Evolution for Streaming Federated Continual Learning with Category Overlap and without Task Identifiers
par: Tan, Sixing, et autres
Publié: (2026)

Graph Feedback Bandits on Similar Arms: With and Without Graph Structures
par: Qi, Han, et autres
Publié: (2025)

Federated Multi-Objective Learning with Controlled Pareto Frontiers
par: Rao, Jiansheng, et autres
Publié: (2025)

Scalable Graph Self-Supervised Learning
par: Pasand, Ali Saheb, et autres
Publié: (2024)