Ambuj Singh | DeepAI

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∙ 08/22/2023

Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions

This research aims to improve the accuracy of complex volleyball predict...

0 Rhys Tracy, et al. ∙

∙ 05/25/2023

Robust Ante-hoc Graph Explainer using Bilevel Optimization

Explaining the decisions made by machine learning models for high-stakes...

0 Mert Kosan, et al. ∙

∙ 05/23/2023

Link Prediction without Graph Neural Networks

Link prediction, which consists of predicting edges based on graph featu...

0 Zexi Huang, et al. ∙

∙ 02/01/2023

Learning Prototype Classifiers for Long-Tailed Recognition

The problem of long-tailed recognition (LTR) has received attention in r...

0 Saurabh Sharma, 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. ∙

∙ 05/23/2022

Deep Representations for Time-varying Brain Datasets

Finding an appropriate representation of dynamic activities in the brain...

0 Sikun Lin, 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. ∙

∙ 01/24/2022

Graph Neural Diffusion Networks for Semi-supervised Learning

Graph Convolutional Networks (GCN) is a pioneering model for graph-based...

16 Wei Ye, et al. ∙

∙ 10/24/2021

A Broader Picture of Random-walk Based Graph Embedding

Graph embedding based on random-walks supports effective solutions for m...

0 Zexi Huang, 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. ∙

∙ 10/17/2021

POLE: Polarized Embedding for Signed Networks

From the 2016 U.S. presidential election to the 2021 Capitol riots to th...

0 Zexi Huang, et al. ∙

∙ 04/05/2020

DeepMap: Learning Deep Representations for Graph Classification

Graph-structured data arise in many scenarios. A fundamental problem is ...

0 Wei Ye, et al. ∙

∙ 03/24/2020

Incorporating User's Preference into Attributed Graph Clustering

Graph clustering has been studied extensively on both plain graphs and a...

0 Wei Ye, et al. ∙

∙ 02/23/2020

Tree++: Truncated Tree Based Graph Kernels

Graph-structured data arise ubiquitously in many application domains. A ...

0 Wei Ye, 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. ∙

∙ 09/30/2016

Outlier Detection from Network Data with Subnetwork Interpretation

Detecting a small number of outliers from a set of data observations is ...

0 Xuan-Hong Dang, et al. ∙

∙ 10/17/2015

A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

Analysis of opinion dynamics in social networks plays an important role ...

0 Victor Amelkin, et al. ∙

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