1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Hierarchy-Aware Neural Subgraph Matching with Enhanced Similarity Measure
Zhouyang Liu, Ning Liu, Yixin Chen +3
Subgraph matching is challenging as it necessitates time-consuming combinatorial searches. Recent Graph Neural Network (GNN)-based approaches address this issue by employing GNN en…
cs.CV2024★ 1 cited
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Minjie Zhu, Yichen Zhu, Xin Liu +7
Multimodal Large Language Models (MLLMs) have showcased impressive skills in tasks related to visual understanding and reasoning. Yet, their widespread application faces obstacles…
cs.LG2021★ 1 cited
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu, Songlei Jian, Dongsheng Li +3
Graph neural networks (GNN) have been proven to be mature enough for handling graph-structured data on node-level graph representation learning tasks. However, the graph pooling te…