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07/04/2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Knowledge graph embeddings (KGE) have been extensively studied to embed ...
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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...
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03/18/2023
ExplainFix: Explainable Spatially Fixed Deep Networks
Is there an initialization for deep networks that requires no learning? ...
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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...
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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...
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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?...
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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...
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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...
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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...
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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...
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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...
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04/04/2022
Coarse-to-Fine Sparse Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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11/11/2020
J-Recs: Principled and Scalable Recommendation Justification
Online recommendation is an essential functionality across a variety of ...
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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...
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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...
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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...
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06/18/2020
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Taxonomies have found wide applications in various domains, especially o...
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02/18/2020
Higher-Order Label Homogeneity and Spreading in Graphs
Do higher-order network structures aid graph semi-supervised learning? G...
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12/07/2019
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Entity matching seeks to identify data records over one or multiple data...
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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...
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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...
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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...
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07/23/2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Knowledge graphs have emerged as an important model for studying complex...
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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...
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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...
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06/11/2017
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
Consider a stream of retweet events - how can we spot fraudulent lock-st...
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03/30/2017
FairJudge: Trustworthy User Prediction in Rating Platforms
Rating platforms enable large-scale collection of user opinion about ite...
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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...
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11/19/2015
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Review fraud is a pervasive problem in online commerce, in which fraudul...
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11/03/2015
TribeFlow: Mining & Predicting User Trajectories
Which song will Smith listen to next? Which restaurant will Alice go to ...
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06/27/2014
Linearized and Single-Pass Belief Propagation
How can we tell when accounts are fake or real in a social network? And ...
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02/28/2013