b'Neil Shah'

research

∙ 07/03/2023

RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations

Significant progress has been made in speaker dependent Lip-to-Speech sy...

0 Neha Sahipjohn, et al. ∙

research

∙ 06/18/2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Link prediction attempts to predict whether an unseen edge exists based ...

8 Juanhui Li, et al. ∙

research

∙ 06/12/2023

CARL-G: Clustering-Accelerated Representation Learning on Graphs

Self-supervised learning on graphs has made large strides in achieving g...

0 William Shiao, et al. ∙

research

∙ 06/02/2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Recent studies on Graph Neural Networks(GNNs) provide both empirical and...

20 Haitao Mao, et al. ∙

research

∙ 05/19/2023

MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting

We present MParrotTTS, a unified multilingual, multi-speaker text-to-spe...

0 Neil Shah, et al. ∙

research

∙ 10/17/2022

Forget Unlearning: Towards True Data-Deletion in Machine Learning

Unlearning has emerged as a technique to efficiently erase information o...

17 Rishav Chourasia, et al. ∙

research

∙ 10/11/2022

Linkless Link Prediction via Relational Distillation

Graph Neural Networks (GNNs) have been widely used on graph data and hav...

9 Zhichun Guo, et al. ∙

research

∙ 10/07/2022

Empowering Graph Representation Learning with Test-Time Graph Transformation

As powerful tools for representation learning on graphs, graph neural ne...

28 Wei Jin, et al. ∙

research

∙ 10/05/2022

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...

0 Mingxuan Ju, et al. ∙

research

∙ 09/30/2022

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Training graph neural networks (GNNs) on large graphs is complex and ext...

0 Xiaotian Han, et al. ∙

research

∙ 09/17/2022

Flashlight: Scalable Link Prediction with Effective Decoders

Link prediction (LP) has been recognized as an important task in graph l...

0 Yiwei Wang, et al. ∙

research

∙ 05/21/2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Knowledge graphs (KGs) facilitate a wide variety of applications due to ...

15 Juanhui Li, et al. ∙

research

∙ 01/28/2022

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games

Explaining predictions made by machine learning models is important and ...

0 Shichang Zhang, et al. ∙

research

∙ 12/01/2021

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Graph Neural Networks (GNNs) have achieved unprecedented success in lear...

0 Yu Wang, et al. ∙

research

∙ 10/28/2021

Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs

A variety of tasks on dynamic graphs, including anomaly detection, commu...

0 Hyeonjeong Shin, et al. ∙

research

∙ 10/17/2021

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Graph Neural Networks (GNNs) have recently become popular for graph mach...

0 Shichang Zhang, et al. ∙

research

∙ 06/11/2021

Is Homophily a Necessity for Graph Neural Networks?

Graph neural networks (GNNs) have shown great prowess in learning repres...

0 Yao Ma, et al. ∙

research

∙ 06/10/2021

Automated Self-Supervised Learning for Graphs

Graph self-supervised learning has gained increasing attention due to it...

10 Wei Jin, et al. ∙

research

∙ 02/15/2021

KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection

Graphs are one of the most efficacious structures for representing datap...

0 Sara Abdali, et al. ∙

research

∙ 02/15/2021

Identifying Misinformation from Website Screenshots

Can the look and the feel of a website give information about the trustw...

0 Sara Abdali, et al. ∙

research

∙ 12/05/2020

FAIROD: Fairness-aware Outlier Detection

Fairness and Outlier Detection (OD) are closely related, as it is exactl...

0 Shubhranshu Shekhar, et al. ∙

research

∙ 11/02/2020

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks

Contextual embeddings derived from transformer-based neural language mod...

0 Brihi Joshi, et al. ∙

research

∙ 10/05/2020

A Unified View on Graph Neural Networks as Graph Signal Denoising

Graph Neural Networks (GNNs) have risen to prominence in learning repres...

0 Yao Ma, et al. ∙

research

∙ 07/28/2020

A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts

We present a large-scale characterization of attacker activity across 11...

0 Neil Shah, et al. ∙

research

∙ 06/11/2020

Data Augmentation for Graph Neural Networks

Data augmentation has been widely used to improve generalizability of ma...

0 Tong Zhao, et al. ∙

research

∙ 06/10/2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

With the rapid growth and prevalence of social network applications (App...

0 Xianfeng Tang, et al. ∙

research

∙ 05/08/2020

HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

Distinguishing between misinformation and real information is one of the...

0 Sara Abdali, et al. ∙

research

∙ 04/28/2020

Minority Reports Defense: Defending Against Adversarial Patches

Deep learning image classification is vulnerable to adversarial attack, ...

8 Michael McCoyd, et al. ∙

research

∙ 08/19/2019

SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs

Given the reach of web platforms, bad actors have considerable incentive...

0 Hamed Nilforoshan, et al. ∙

research

∙ 08/19/2019

SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs

Given the reach of web platforms, bad actors have considerable incentive...

0 Hamed Nilforoshan, et al. ∙

research

∙ 03/17/2019

Impact of Contextual Factors on Snapchat Public Sharing

Public sharing is integral to online platforms. This includes the popula...

0 Hana Habib, 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

∙ 04/24/2018

Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings

Fake news may be intentionally created to promote economic, political an...

0 Gisel Bastidas Guacho, et al. ∙

research

∙ 04/23/2018

False Information on Web and Social Media: A Survey

False information can be created and spread easily through the web and s...

0 Srijan Kumar, 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. ∙

Neil Shah

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