3 citations · 4 across the 14 of their papers we have counts for
4 papers · 1 filter
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
Yanran Tang, Ruihong Qiu, Yilun Liu +2
Legal case retrieval is an information retrieval task in the legal domain, which aims to retrieve relevant cases with a given query case. Recent research of legal case retrieval ma…
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu, Ruihong Qiu, Yanran Tang +2
When handling streaming graphs, existing graph representation learning models encounter a catastrophic forgetting problem, where previously learned knowledge of these models is eas…
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu, Ruihong Qiu, Zi Huang
Continual graph learning (CGL) is purposed to continuously update a graph model with graph data being fed in a streaming manner. Since the model easily forgets previously learned k…
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media
Yan Jiang, Ruihong Qiu, Yi Zhang +1
As social media becomes increasingly popular, more and more activities related to public health emerge. Current techniques for public health analysis involve popular models such as…