Sourav Medya | DeepAI

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∙ 06/07/2023

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity

Graph neural networks (GNNs) have various practical applications, such a...

0 Samidha Verma, et al. ∙

∙ 06/02/2023

A Survey on Explainability of Graph Neural Networks

Graph neural networks (GNNs) are powerful graph-based deep-learning mode...

0 Jaykumar Kakkad, et al. ∙

∙ 02/11/2023

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

Often, deep network models are purely inductive during training and whil...

0 Zhu Wang, et al. ∙

∙ 10/21/2022

Global Counterfactual Explainer for Graph Neural Networks

Graph neural networks (GNNs) find applications in various domains such a...

14 Mert Kosan, et al. ∙

∙ 03/15/2022

Incorporating Heterophily into Graph Neural Networks for Graph Classification

Graph neural networks (GNNs) often assume strong homophily in graphs, se...

1 Wei Ye, et al. ∙

∙ 01/31/2022

An Exploratory Study of Stock Price Movements from Earnings Calls

Financial market analysis has focused primarily on extracting signals fr...

0 Sourav Medya, et al. ∙

∙ 12/25/2021

Task and Model Agnostic Adversarial Attack on Graph Neural Networks

Graph neural networks (GNNs) have witnessed significant adoption in the ...

15 Kartik Sharma, et al. ∙

∙ 12/24/2021

A Neural Framework for Learning Subgraph and Graph Similarity Measures

Subgraph similarity search is a fundamental operator in graph analysis. ...

13 Rishabh Ranjan, et al. ∙

∙ 10/23/2021

Event Detection on Dynamic Graphs

Event detection is a critical task for timely decision-making in graph a...

68 Mert Kosan, et al. ∙

∙ 12/18/2020

Investigating the Ground-level Ozone Formation and Future Trend in Taiwan

Tropospheric ozone (O3) is an influential ground-level air pollutant whi...

4 Yu-Wen Chen, et al. ∙

∙ 10/25/2019

Manipulating Node Similarity Measures in Network

Node similarity measures quantify how similar a pair of nodes are in a n...

0 Palash Dey, et al. ∙

∙ 03/14/2019

Covert Networks: How Hard is It to Hide?

Covert networks are social networks that often consist of harmful users....

0 Palash Dey, et al. ∙

∙ 03/08/2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning

In this paper, we propose a deep reinforcement learning framework called...

0 Akash Mittal, et al. ∙

∙ 01/08/2019

K-Core Minimization: A Game Theoretic Approach

K-cores are maximal induced subgraphs where all vertices have degree at ...

0 Sourav Medya, et al. ∙