
Dynamic GraphBased Anomaly Detection in the Electrical Grid
Given sensor readings over time from a power grid, how can we accurately...
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Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Tradeoff
Graph data is ubiquitous in academia and industry, from social networks ...
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Fast and Accurate Anomaly Detection in Dynamic Graphs with a TwoPronged Approach
Given a dynamic graph stream, how can we detect the sudden appearance of...
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Bridging Physicsbased and Datadriven modeling for Learning Dynamical Systems
How can we learn a dynamical system to make forecasts, when some variabl...
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JRecs: Principled and Scalable Recommendation Justification
Online recommendation is an essential functionality across a variety of ...
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RealTime 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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AutoKnow: SelfDriving 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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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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Octet: Online Catalog Taxonomy Enrichment with SelfSupervision
Taxonomies have found wide applications in various domains, especially o...
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HigherOrder Label Homogeneity and Spreading in Graphs
Do higherorder network structures aid graph semisupervised learning? G...
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AutoBlock: A Handsoff Blocking Framework for Entity Matching
Entity matching seeks to identify data records over one or multiple data...
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MIDAS: MicroclusterBased 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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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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Did We Get It Right? Predicting Query Performance in Ecommerce Search
In this paper, we address the problem of evaluating whether results serv...
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LinkNBed: MultiGraph Representation Learning with Entity Linkage
Knowledge graphs have emerged as an important model for studying complex...
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DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams
Given a webscale graph that grows over time, how should its edges be st...
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OutofCore and Distributed Algorithms for Dense Subtensor Mining
How can we detect fraudulent lockstep behavior in largescale multiaspe...
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DenseAlert: Incremental DenseSubtensor Detection in Tensor Streams
Consider a stream of retweet events  how can we spot fraudulent lockst...
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FairJudge: Trustworthy User Prediction in Rating Platforms
Rating platforms enable largescale collection of user opinion about ite...
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Tensor Decomposition for Signal Processing and Machine Learning
Tensors or multiway arrays are functions of three or more indices (i,j...
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BIRDNEST: Bayesian Inference for RatingsFraud Detection
Review fraud is a pervasive problem in online commerce, in which fraudul...
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TribeFlow: Mining & Predicting User Trajectories
Which song will Smith listen to next? Which restaurant will Alice go to ...
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Linearized and SinglePass Belief Propagation
How can we tell when accounts are fake or real in a social network? And ...
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ScoupSMT: Scalable Coupled Sparse MatrixTensor Factorization
How can we correlate neural activity in the human brain as it responds t...
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Christos Faloutsos
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Professor at Carnegie Mellon University Dept. of Computer Science