62 citations · 93 across the 19 of their papers we have counts for
10 papers · 1 filter
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores
Zhonggen Li, Xiangyu Ke, Yifan Zhu +2
Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in graph computing and analytics. However, the irregularity of real-world graphs poses significant challenges…
Spectral Subspace Clustering for Attributed Graphs
Xiaoyang Lin, Renchi Yang, Haoran Zheng +1
Subspace clustering seeks to identify subspaces that segment a set of n data points into k (k<<n) groups, which has emerged as a powerful tool for analyzing data from various domai…
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
Zhicheng Liang, Yu Yang, Xiangyu Ke +2
Recent years have witnessed a growing trend toward employing deep reinforcement learning (Deep-RL) to derive heuristics for combinatorial optimization (CO) problems on graphs. Maxi…
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
Mengzhao Wang, Haotian Wu, Xiangyu Ke +3
Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user experiences. However, existing retrieval techniques o…
GTS: GPU-based Tree Index for Fast Similarity Search
Yifan Zhu, Ruiyao Ma, Baihua Zheng +3
Similarity search, the task of identifying objects most similar to a given query object under a specific metric, has gathered significant attention due to its practical application…
Accelerating Biclique Counting on GPU
Linshan Qiu, Zhonggen Li, Xiangyu Ke +2
Counting (p,q)-bicliques in bipartite graphs poses a foundational challenge with broad applications, from densest subgraph discovery in algorithmic research to personalized content…
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment
Mengzhao Wang, Weizhi Xu, Xiaomeng Yi +7
High-dimensional vector similarity search (HVSS) is gaining prominence as a powerful tool for various data science and AI applications. As vector data scales up, in-memory indexes…
Scalable Community Search with Accuracy Guarantee on Attributed Graphs
Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu +4
Given an attributed graph and a query node , \underline{C}ommunity \underline{S}earch over \underline{A}ttributed \underline{G}raphs (CS-AG) aims to find a structure- and at…
GPU-Accelerated Batch-Dynamic Subgraph Matching
Linshan Qiu, Lu Chen, Hailiang Jie +4
Subgraph matching has garnered increasing attention for its diverse real-world applications. Given the dynamic nature of real-world graphs, addressing evolving scenarios without in…
View-based Explanations for Graph Neural Networks
Tingyang Chen, Dazhuo Qiu, Yinghui Wu +3
Generating explanations for graph neural networks (GNNs) has been studied to understand their behavior in analytical tasks such as graph classification. Existing approaches aim to…