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20102023
most citedA Comprehensive Survey on Graph Anomaly Detection with Deep Learning

839 citations · 1k across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.LG2022★ 30 cited

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Menglin Yang, Min Zhou, Tong Zhang +5

Graph representation learning in Euclidean space, despite its widespread adoption and proven utility in many domains, often struggles to effectively capture the inherent hierarchic…

cs.LG2021★ 1 cited

Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis

Zixuan Yuan, Yada Zhu, Wei Zhang +3

Earnings call (EC), as a periodic teleconference of a publicly-traded company, has been extensively studied as an essential market indicator because of its high analytical value in…

cs.LG2021★ 839 cited

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Xiaoxiao Ma, Jia Wu, Shan Xue +5

Anomalies represent rare observations (e.g., data records or events) that deviate significantly from others. Over several decades, research on anomaly mining has received increasin…

cs.LG2021★ 89 cited

Heterogeneous Graph Representation Learning with Relation Awareness

Le Yu, Leilei Sun, Bowen Du +3

Representation learning on heterogeneous graphs aims to obtain meaningful node representations to facilitate various downstream tasks, such as node classification and link predicti…

cs.LG2020★ 1 cited

T-Net: A Semi-supervised Deep Model for Turbulence Forecasting

Denghui Zhang, Yanchi Liu, Wei Cheng +5

Accurate air turbulence forecasting can help airlines avoid hazardous turbulence, guide the routes that keep passengers safe, maximize efficiency, and reduce costs. Traditional tur…

cs.LG2020★ 8 cited

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems

Jingjing Gu, Qiang Zhou, Jingyuan Yang +4

Unlike the traditional dock-based systems, dockless bike-sharing systems are more convenient for users in terms of flexibility. However, the flexibility of these dockless systems c…

cs.LG2010★ 5 cited

Detecting Blackholes and Volcanoes in Directed Networks

Zhongmou Li, Hui Xiong, Yanchi Liu

In this paper, we formulate a novel problem for finding blackhole and volcano patterns in a large directed graph. Specifically, a blackhole pattern is a group which is made of a se…