Christos Faloutsos

research

∙ 06/18/2022

AutoGML: Fast Automatic Model Selection for Graph Machine Learning

Given a graph learning task, such as link prediction, on a new graph dat...

Namyong Park, et al. ∙

research

∙ 06/09/2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning

What target labels are most effective for graph neural network (GNN) tra...

Zhenwei Dai, et al. ∙

research

∙ 05/24/2022

ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases

Low-quality listings and bad actor behavior in online retail websites th...

Bo He, et al. ∙

research

∙ 04/29/2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

Automatic extraction of product attributes from their textual descriptio...

Xinyang Zhang, et al. ∙

research

∙ 04/04/2022

Coarse-to-Fine Sparse Sequential Recommendation

Sequential recommendation aims to model dynamic user behavior from histo...

Jiacheng Li, et al. ∙

research

∙ 02/15/2022

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

How can we perform knowledge reasoning over temporal knowledge graphs (T...

Namyong Park, et al. ∙

research

∙ 11/11/2021

Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series

Given a cardiac-arrest patient being monitored in the ICU (intensive car...

Shubhranshu Shekhar, et al. ∙

research

∙ 09/06/2021

gen2Out: Detecting and Ranking Generalized Anomalies

In a cloud of m-dimensional data points, how would we spot, as well as r...

Meng-Chieh Lee, et al. ∙

research

∙ 12/30/2020

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

Given sensor readings over time from a power grid, how can we accurately...

Shimiao Li, et al. ∙

research

∙ 11/26/2020

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off

Graph data is ubiquitous in academia and industry, from social networks ...

Minji Yoon, et al. ∙

research

∙ 11/26/2020

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach

Given a dynamic graph stream, how can we detect the sudden appearance of...

Minji Yoon, et al. ∙

research

∙ 11/20/2020

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems

How can we learn a dynamical system to make forecasts, when some variabl...

Rui Wang, et al. ∙

research

∙ 11/11/2020

J-Recs: Principled and Scalable Recommendation Justification

Online recommendation is an essential functionality across a variety of ...

Namyong Park, et al. ∙

research

∙ 09/17/2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs

Given a stream of graph edges from a dynamic graph, how can we assign an...

Siddharth Bhatia, et al. ∙

research

∙ 06/24/2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...

Xin Luna Dong, et al. ∙

research

∙ 06/22/2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Given multiple input signals, how can we infer node importance in a know...

Namyong Park, et al. ∙

research

∙ 06/18/2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Taxonomies have found wide applications in various domains, especially o...

Yuning Mao, et al. ∙

research

∙ 02/18/2020

Higher-Order Label Homogeneity and Spreading in Graphs

Do higher-order network structures aid graph semi-supervised learning? G...

Dhivya Eswaran, et al. ∙

research

∙ 12/07/2019

AutoBlock: A Hands-off Blocking Framework for Entity Matching

Entity matching seeks to identify data records over one or multiple data...

Wei Zhang, et al. ∙

research

∙ 11/11/2019

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Given a stream of graph edges from a dynamic graph, how can we assign an...

Siddharth Bhatia, et al. ∙

research

∙ 05/21/2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

How can we estimate the importance of nodes in a knowledge graph (KG)? A...

Namyong Park, et al. ∙

research

∙ 08/01/2018

Did We Get It Right? Predicting Query Performance in E-commerce Search

In this paper, we address the problem of evaluating whether results serv...

Rohan Kumar, et al. ∙

research

∙ 07/23/2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage

Knowledge graphs have emerged as an important model for studying complex...

Rakshit Trivedi, et al. ∙

research

∙ 02/12/2018

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams

Given a web-scale graph that grows over time, how should its edges be st...

Kijung Shin, et al. ∙

research

∙ 02/04/2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining

How can we detect fraudulent lockstep behavior in large-scale multi-aspe...

Kijung Shin, et al. ∙

research

∙ 06/11/2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams

Consider a stream of retweet events - how can we spot fraudulent lock-st...

Kijung Shin, et al. ∙

research

∙ 03/30/2017

FairJudge: Trustworthy User Prediction in Rating Platforms

Rating platforms enable large-scale collection of user opinion about ite...

Srijan Kumar, et al. ∙

research

∙ 07/06/2016

Tensor Decomposition for Signal Processing and Machine Learning

Tensors or multi-way arrays are functions of three or more indices (i,j...

Nicholas D. Sidiropoulos, et al. ∙

research

∙ 11/19/2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

Review fraud is a pervasive problem in online commerce, in which fraudul...

Bryan Hooi, et al. ∙

research

∙ 11/03/2015

TribeFlow: Mining & Predicting User Trajectories

Which song will Smith listen to next? Which restaurant will Alice go to ...

Flavio Figueiredo, et al. ∙

research

∙ 06/27/2014

Linearized and Single-Pass Belief Propagation

How can we tell when accounts are fake or real in a social network? And ...

Wolfgang Gatterbauer, et al. ∙

research

∙ 02/28/2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization

How can we correlate neural activity in the human brain as it responds t...

Evangelos E. Papalexakis, et al. ∙

Christos Faloutsos

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