61 citations · 64 across the 6 of their papers we have counts for
6 papers
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
Qiang Huang, Jiawei Jiang, Xi Susie Rao +10
To handle graphs in which features or connectivities are evolving over time, a series of temporal graph neural networks (TGNNs) have been proposed. Despite the success of these TGN…
Submodular Optimization Over Streams with Inhomogeneous Decays
Junzhou Zhao, Shuo Shang, Pinghui Wang +2
Cardinality constrained submodular function maximization, which aims to select a subset of size at most to maximize a monotone submodular utility function, is the key in many d…
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
Junzhou Zhao, Shuo Shang, Pinghui Wang +2
Identifying influential nodes that can jointly trigger the maximum influence spread in networks is a fundamental problem in many applications such as viral marketing, online advert…
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments
Jiajun Liu, Kun Zhao, Philipp Sommer +4
State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computa…
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
Jiajun Liu, Kun Zhao, Brano Kusy +2
The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments. Here, we propose a novel model called Temporal embedding-en…
Bounded Quadrant System: Error-bounded Trajectory Compression on the Go
Jiajun Liu, Kun Zhao, Philipp Sommer +3
Long-term location tracking, where trajectory compression is commonly used, has gained high interest for many applications in transport, ecology, and wearable computing. However, s…