Image de couverture de livre

Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Song, Lei, Li, Jiaxing, Guan, Shihan, Kong, Youyong
Format:	Preprint
Publié:	2025
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

Analytic Drift Resister for Non-Exemplar Continual Graph Learning
par: Song, Lei, et autres
Publié: (2026)

Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
par: Li, Dan, et autres
Publié: (2025)

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis
par: Dong, Rui, et autres
Publié: (2026)

Memory-efficient Continual Learning with Prototypical Exemplar Condensation
par: Nguyen, Minh-Duong, et autres
Publié: (2026)

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
par: Zheng, Weihuang, et autres
Publié: (2024)

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
par: Li, Jiyong, et autres
Publié: (2024)

Exemplar-Free Continual Learning for State Space Models
par: Lee, Isaac Ning, et autres
Publié: (2025)

Instance-Aware Graph Prompt Learning
par: Li, Jiazheng, et autres
Publié: (2024)

MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning
par: You, Haochen, et autres
Publié: (2025)

GACL: Exemplar-Free Generalized Analytic Continual Learning
par: Zhuang, Huiping, et autres
Publié: (2024)

Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
par: Moon, Hyung-Jun, et autres
Publié: (2025)

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
par: Li, Zhishuai, et autres
Publié: (2024)

Prototype Augmented Hypernetworks for Continual Learning
par: De La Fuente, Neil, et autres
Publié: (2025)

Federated Prototype Graph Learning
par: Wu, Zhengyu, et autres
Publié: (2025)

Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
par: Lei, Han, et autres
Publié: (2025)

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
par: Radwan, Yousef A., et autres
Publié: (2026)

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
par: Goswami, Dipam, et autres
Publié: (2023)

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
par: Li, Dongyue, et autres
Publié: (2023)

Exemplar-condensed Federated Class-incremental Learning
par: Sun, Rui, et autres
Publié: (2024)

Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
par: Yang, Wenjie, et autres
Publié: (2024)

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
par: Zhang, Yupu, et autres
Publié: (2025)

Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
par: Han, Shuai, et autres
Publié: (2024)

ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning
par: Zhang, Qin, et autres
Publié: (2024)

A Selective Learning Method for Temporal Graph Continual Learning
par: Liu, Hanmo, et autres
Publié: (2025)

Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
par: Aghasanli, Agil, et autres
Publié: (2025)

Continual Graph Learning: A Survey
par: Yuan, Qiao, et autres
Publié: (2023)

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
par: Kann, Bonpagna, et autres
Publié: (2025)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
par: Liu, Xuan, et autres
Publié: (2025)

TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning
par: Żurek, Dominik, et autres
Publié: (2026)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
par: Zhu, Fei, et autres
Publié: (2024)

Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
par: Doan, Khanh, et autres
Publié: (2023)

Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
par: Panchal, Kunjal, et autres
Publié: (2022)

Affinity Graph Connectivity in Convex Clustering
par: Rosen, Sam, et autres
Publié: (2026)

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
par: Niu, Chaoxi, et autres
Publié: (2023)

HBGSA: Hydrogen Bond Graph with Self-Attention for Drug-Target Binding Affinity Prediction
par: Kong, Junxiao, et autres
Publié: (2026)

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

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
par: Rana, Md Masud, et autres
Publié: (2025)

Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
par: Zhuang, Huiping, et autres
Publié: (2024)

Continual Hyperbolic Learning of Instances and Classes
par: Ayoughi, Melika, et autres
Publié: (2025)

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
par: Malialis, Kleanthis, et autres
Publié: (2024)