Jennifer Neville | DeepAI

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Featured Co-authors

Muhao Chen
82 publications
Pan Li
78 publications
Ryan A. Rossi
57 publications
Nesreen K. Ahmed
42 publications
Cong Hao
38 publications
Bruno Ribeiro
32 publications
Jiayi Liu
26 publications
Ryan Rossi
24 publications
Jianzhu Ma
16 publications
Vinayak Rao
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Nick Duffield
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∙ 09/16/2023

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs

The traditional Dialogue State Tracking (DST) problem aims to track user...

0 Sarkar Snigdha Sarathi Das, et al. ∙

∙ 08/12/2023

Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem

Email platforms need to generate personalized rankings of emails that sa...

0 Jiayi Liu, et al. ∙

∙ 08/01/2023

DYMOND: DYnamic MOtif-NoDes Network Generative Model

Motifs, which have been established as building blocks for network struc...

0 Giselle Zeno, et al. ∙

∙ 04/24/2023

Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness

Node representation learning in a network is an important machine learni...

0 Hogun Park, et al. ∙

∙ 02/17/2023

Creating generalizable downstream graph models with random projections

We investigate graph representation learning approaches that enable mode...

0 Anton Amirov, et al. ∙

∙ 10/27/2022

Federated Graph Representation Learning using Self-Supervision

Federated graph representation learning (FedGRL) brings the benefits of ...

0 Susheel Suresh, et al. ∙

∙ 02/04/2022

Lightweight Compositional Embeddings for Incremental Streaming Recommendation

Most work in graph-based recommender systems considers a static setting ...

6 Mengyue Hang, et al. ∙

∙ 06/11/2021

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Graph neural networks (GNNs) have achieved tremendous success on multipl...

0 Susheel Suresh, et al. ∙

∙ 06/10/2021

Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Self-supervised learning of graph neural networks (GNN) is in great need...

0 Susheel Suresh, et al. ∙

∙ 03/06/2021

ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis

Analyzing the readability of articles has been an important sociolinguis...

0 Changping Meng, et al. ∙

∙ 09/22/2020

A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs

The problem of knowledge graph (KG) reasoning has been widely explored b...

0 Susheel Suresh, et al. ∙

∙ 03/26/2020

A Collective Learning Framework to Boost GNN Expressiveness

Graph Neural Networks (GNNs) have recently been used for node and graph ...

0 Mengyue Hang, et al. ∙

∙ 03/02/2020

Cluster-Based Social Reinforcement Learning

Social Reinforcement Learning methods, which model agents in large netwo...

0 Mahak Goindani, et al. ∙

∙ 10/01/2019

Deep Lifetime Clustering

The goal of lifetime clustering is to develop an inductive model that ma...

0 S Chandra Mouli, et al. ∙

∙ 04/04/2019

Community detection over a heterogeneous population of non-aligned networks

Clustering and community detection with multiple graphs have typically f...

0 Guilherme Gomes, et al. ∙

∙ 09/07/2018

Multi-level hypothesis testing for populations of heterogeneous networks

In this work, we consider hypothesis testing and anomaly detection on da...

18 Guilherme Gomes, et al. ∙

∙ 07/24/2017

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls

Research in statistical relational learning has produced a number of met...

0 Jiasen Yang, et al. ∙

∙ 07/01/2016

Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values

Gradient boosting of regression trees is a competitive procedure for lea...

0 Iman Alodah, et al. ∙

∙ 06/13/2015

Graphlet Decomposition: Framework, Algorithms, and Applications

From social science to biology, numerous applications often rely on grap...

0 Nesreen K. Ahmed, et al. ∙

∙ 03/14/2014

Learning the Latent State Space of Time-Varying Graphs

From social networks to Internet applications, a wide variety of electro...

0 Nesreen K. Ahmed, et al. ∙

∙ 11/14/2012

Network Sampling: From Static to Streaming Graphs

Network sampling is integral to the analysis of social, information, and...

0 Nesreen K. Ahmed, et al. ∙

∙ 05/09/2012

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks

The majority of real-world networks are dynamic and extremely large (e.g...

0 Ryan Rossi, et al. ∙

∙ 03/30/2012

Transforming Graph Representations for Statistical Relational Learning

Relational data representations have become an increasingly important to...

0 Ryan A. Rossi, et al. ∙

∙ 03/09/2012

Role-Dynamics: Fast Mining of Large Dynamic Networks

To understand the structural dynamics of a large-scale social, biologica...

0 Ryan Rossi, et al. ∙

∙ 11/22/2011

Representations and Ensemble Methods for Dynamic Relational Classification

Temporal networks are ubiquitous and evolve over time by the addition, d...

0 Ryan A. Rossi, et al. ∙

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