Christos Faloutsos

research

∙ 07/04/2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs

Knowledge graph embeddings (KGE) have been extensively studied to embed ...

0 Zijie Huang, et al. ∙

research

∙ 04/20/2023

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

How can we learn effective node representations on textual graphs? Graph...

0 Costas Mavromatis, et al. ∙

research

∙ 03/18/2023

ExplainFix: Explainable Spatially Fixed Deep Networks

Is there an initialization for deep networks that requires no learning? ...

0 Alex Gaudio, et al. ∙

research

∙ 02/24/2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Transparency and accountability have become major concerns for black-box...

0 Shichang Zhang, et al. ∙

research

∙ 12/31/2022

UltraProp: Principled and Explainable Propagation on Large Graphs

Given a large graph with few node labels, how can we (a) identify the mi...

0 Meng-Chieh Lee, et al. ∙

research

∙ 10/08/2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success

Can we design a GNN that is accurate and interpretable at the same time?...

0 Jaemin Yoo, et al. ∙

research

∙ 10/05/2022

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection

Advances in data-driven deep learning for chest X-ray image analysis und...

0 Elvin Johnson, et al. ∙

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...

19 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...

24 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...

0 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...

9 Xinyang Zhang, et al. ∙

research

∙ 04/04/2022

Coarse-to-Fine Sparse Sequential Recommendation

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

0 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...

17 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...

5 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...

14 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...

2 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 ...

6 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...

2 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...

3 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 ...

2 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...

27 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...

12 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...

20 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...

0 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...

0 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...

0 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...

13 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...

6 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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 ...

0 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...

0 Evangelos E. Papalexakis, et al. ∙

Christos Faloutsos

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