8 papers
HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning
Han Chen, Hanchen Wang, Hongmei Chen +3
Concept drift, driven by the rapid evolution of Android malware, severely degrades the performance of machine learning detectors. Current adaptation strategies are often reactive,…
EXG: Self-Evolving Agents with Experience Graphs
Yuxin Jin, Siyuan Zhang, Hanchen Wang +3
Large language model (LLM)-based agents have demonstrated strong capabilities in complex reasoning and problem solving through multi-step interactions, yet most deployed agents rem…
Efficient Approximate Nearest Neighbor Search under Multi-Attribute Range Filter
Yuanhang Yu, Dawei Cheng, Ying Zhang +3
Nearest neighbor search on high-dimensional vectors is fundamental in modern AI and database systems. In many real-world applications, queries involve constraints on multiple numer…
HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
Shiyuan Liu, Jianwei Wang, Xuemin Lin +3
As a pivotal task in data lake management, joinable table discovery has attracted widespread interest. While existing language model-based methods achieve remarkable performance by…
HL-index: Fast Reachability Query in Hypergraphs
Peiting Xie, Xiangjun Zai, Yanping Wu +3
Reachability in hypergraphs is essential for modeling complex groupwise interactions in real-world applications such as co-authorship, social network, and biological analysis, wher…
HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
Han Chen, Hanchen Wang, Hongmei Chen +3
The advancement of graph-based malware analysis is critically limited by the absence of large-scale datasets that capture the inherent hierarchical structure of software. Existing…
Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs
Yanping Wu, Renjie Sun, Xiaoyang Wang +4
Cohesive subgraph mining is a fundamental problem in bipartite graph analysis. In reality, relationships between two types of entities often occur at some specific timestamps, whic…
Efficient Influence Minimization via Node Blocking
Jinghao Wang, Yanping Wu, Xiaoyang Wang +4
Given a graph G, a budget k and a misinformation seed set S, Influence Minimization (IMIN) via node blocking aims to find a set of k nodes to be blocked such that the expected spre…