23 citations · 67 across the 9 of their papers we have counts for
5 papers · 1 filter
HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning
Guiquan Sun, Xikun Zhang, Jingchao Ni +1
Machine learning on heterogeneous graphs has advanced rapidly, driven by the diverse entities, relations, and semantics inherent in real-world data. However, most existing studies…
Learning System Dynamics without Forgetting
Xikun Zhang, Dongjin Song, Yushan Jiang +2
Observation-based trajectory prediction for systems with unknown dynamics is essential in fields such as physics and biology. Most existing approaches are limited to learning withi…
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Xikun Zhang, Dongjin Song, Dacheng Tao
Continual learning on graph data has recently attracted paramount attention for its aim to resolve the catastrophic forgetting problem on existing tasks while adapting the sequenti…
Empowering Time Series Analysis with Large Language Models: A Survey
Yushan Jiang, Zijie Pan, Xikun Zhang +4
Recently, remarkable progress has been made over large language models (LLMs), demonstrating their unprecedented capability in varieties of natural language tasks. However, complet…
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Xikun Zhang, Dongjin Song, Yixin Chen +1
Memory replay based techniques have shown great success for continual learning with incrementally accumulated Euclidean data. Directly applying them to continually expanding networ…