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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...
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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 ...
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06/12/2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
Self-supervised learning on graphs has made large strides in achieving g...
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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...
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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...
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10/17/2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning
Unlearning has emerged as a technique to efficiently erase information o...
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10/11/2022
Linkless Link Prediction via Relational Distillation
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
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10/07/2022
Empowering Graph Representation Learning with Test-Time Graph Transformation
As powerful tools for representation learning on graphs, graph neural ne...
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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...
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09/30/2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Training graph neural networks (GNNs) on large graphs is complex and ext...
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09/17/2022
Flashlight: Scalable Link Prediction with Effective Decoders
Link prediction (LP) has been recognized as an important task in graph l...
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05/21/2022
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
Knowledge graphs (KGs) facilitate a wide variety of applications due to ...
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01/28/2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games
Explaining predictions made by machine learning models is important and ...
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12/01/2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Graph Neural Networks (GNNs) have achieved unprecedented success in lear...
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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...
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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...
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06/11/2021
Is Homophily a Necessity for Graph Neural Networks?
Graph neural networks (GNNs) have shown great prowess in learning repres...
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06/10/2021
Automated Self-Supervised Learning for Graphs
Graph self-supervised learning has gained increasing attention due to it...
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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...
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02/15/2021
Identifying Misinformation from Website Screenshots
Can the look and the feel of a website give information about the trustw...
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12/05/2020
FAIROD: Fairness-aware Outlier Detection
Fairness and Outlier Detection (OD) are closely related, as it is exactl...
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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...
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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...
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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...
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06/11/2020
Data Augmentation for Graph Neural Networks
Data augmentation has been widely used to improve generalizability of ma...
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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...
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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...
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04/28/2020
Minority Reports Defense: Defending Against Adversarial Patches
Deep learning image classification is vulnerable to adversarial attack, ...
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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...
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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...
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03/17/2019
Impact of Contextual Factors on Snapchat Public Sharing
Public sharing is integral to online platforms. This includes the popula...
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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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04/24/2018
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings
Fake news may be intentionally created to promote economic, political an...
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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...
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11/19/2015
