b'Tengfei Ma'

research

∙ 05/18/2023

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization

Automatically generating human-readable text describing the functionalit...

0 Tong Ye, et al. ∙

research

∙ 05/09/2023

Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction

Class imbalance problems widely exist in the medical field and heavily d...

0 Yinan Liu, et al. ∙

research

∙ 02/27/2023

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research

Graph neural networks (GNNs) have shown high potential for a variety of ...

0 Arpandeep Khatua, et al. ∙

research

∙ 09/15/2022

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description

Most existing Time series classification (TSC) models lack interpretabil...

0 Ruixuan Yan, et al. ∙

research

∙ 08/09/2022

Attention Hijacking in Trojan Transformers

Trojan attacks pose a severe threat to AI systems. Recent works on Trans...

13 Weimin Lyu, et al. ∙

research

∙ 05/21/2022

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning

Towards real-world information extraction scenario, research of relation...

4 Yangkai Du, et al. ∙

research

∙ 05/13/2022

A Study of the Attention Abnormality in Trojaned BERTs

Trojan attacks raise serious security concerns. In this paper, we invest...

10 Weimin Lyu, et al. ∙

research

∙ 02/16/2022

When Does A Spectral Graph Neural Network Fail in Node Classification?

Spectral Graph Neural Networks (GNNs) with various graph filters have re...

0 Zhixian Chen, et al. ∙

research

∙ 01/28/2022

Neural Approximation of Extended Persistent Homology on Graphs

Persistent homology is a widely used theory in topological data analysis...

8 Zuoyu Yan, et al. ∙

research

∙ 10/06/2021

A Topological View of Rule Learning in Knowledge Graphs

Inductive relation prediction is an important learning task for knowledg...

3 Zuoyu Yan, et al. ∙

research

∙ 07/10/2021

Improving Inductive Link Prediction Using Hyper-Relational Facts

For many years, link prediction on knowledge graphs (KGs) has been a pur...

0 Mehdi Ali, et al. ∙

research

∙ 04/11/2021

Constructing Contrastive samples via Summarization for Text Classification with limited annotations

Contrastive Learning has emerged as a powerful representation learning m...

10 Yangkai Du, et al. ∙

research

∙ 02/20/2021

Persistence Homology for Link Prediction: An Interactive View

Link prediction is an important learning task for graph-structured data....

4 Zuoyu Yan, et al. ∙

research

∙ 02/06/2021

Wasserstein diffusion on graphs with missing attributes

Missing node attributes is a common problem in real-world graphs. Graph ...

0 Zhixian Chen, et al. ∙

research

∙ 01/14/2021

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network

Graph convolutional networks have achieved great success on graph-struct...

0 Zhixian Chen, et al. ∙

research

∙ 11/22/2020

GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks

Graph Neural Networks (GNNs) aim to extend deep learning techniques to g...

0 Zhihua Jin, et al. ∙

research

∙ 10/25/2020

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing

Crowdsourcing has attracted much attention for its convenience to collec...

2 Hanlu Wu, et al. ∙

research

∙ 10/24/2020

Deep Graph Matching and Searching for Semantic Code Retrieval

Code retrieval is to find the code snippet from a large corpus of source...

0 Xiang Ling, et al. ∙

research

∙ 10/05/2020

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning

Evaluation of a document summarization system has been a critical factor...

0 Hanlu Wu, et al. ∙

research

∙ 07/08/2020

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning

While the celebrated graph neural networks yield effective representatio...

77 Xiang Ling, et al. ∙

research

∙ 05/21/2020

CHEER: Rich Model Helps Poor Model via Knowledge Infusion

There is a growing interest in applying deep learning (DL) to healthcare...

0 Cao Xiao, et al. ∙

research

∙ 05/21/2020

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning

There have been more than 850,000 confirmed cases and over 48,000 deaths...

0 Xiangxiang Zeng, et al. ∙

research

∙ 12/24/2019

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Hierarchical abstractions are a methodology for solving large-scale grap...

12 Tengfei Ma, et al. ∙

research

∙ 10/04/2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks

Gaining more comprehensive knowledge about drug-drug interactions (DDIs)...

0 Tengfei Ma, et al. ∙

research

∙ 07/17/2019

DeepDrawing: A Deep Learning Approach to Graph Drawing

Node-link diagrams are widely used to facilitate network explorations. H...

0 Yong Wang, et al. ∙

research

∙ 06/02/2019

Pre-training of Graph Augmented Transformers for Medication Recommendation

Medication recommendation is an important healthcare application. It is ...

0 Junyuan Shang, et al. ∙

research

∙ 05/27/2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals

Electrocardiography (ECG) signals are commonly used to diagnose various ...

0 Shenda Hong, et al. ∙

research

∙ 05/15/2019

IPC: A Benchmark Data Set for Learning with Graph-Structured Data

Benchmark data sets are an indispensable ingredient of the evaluation of...

4 Patrick Ferber, et al. ∙

research

∙ 02/26/2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Graph representation learning resurges as a trending research subject ow...

20 Aldo Pareja, et al. ∙

research

∙ 12/07/2018

Reaching Data Confidentiality and Model Accountability on the CalTrain

Distributed collaborative learning (DCL) paradigms enable building joint...

0 Zhongshu Gu, et al. ∙

research

∙ 11/30/2018

Scalable Graph Learning for Anti-Money Laundering: A First Look

Organized crime inflicts human suffering on a genocidal scale: the Mexic...

0 Mark Weber, et al. ∙

research

∙ 11/01/2018

Adaptive Planner Scheduling with Graph Neural Networks

Automated planning is one of the foundational areas of AI. Since a singl...

0 Tengfei Ma, et al. ∙

research

∙ 09/11/2018

AWE: Asymmetric Word Embedding for Textual Entailment

Textual entailment is a fundamental task in natural language processing....

0 Tengfei Ma, et al. ∙

research

∙ 09/07/2018

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

Deep generative models have achieved remarkable success in various data ...

0 Tengfei Ma, et al. ∙

research

∙ 09/06/2018

RDPD: Rich Data Helps Poor Data via Imitation

In many situations, we have both rich- and poor- data environments: in a...

0 Shenda Hong, et al. ∙

research

∙ 09/06/2018

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

Recent progress in deep learning is revolutionizing the healthcare domai...

0 Junyuan Shang, et al. ∙

research

∙ 04/28/2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders

Drug similarity has been studied to support downstream clinical tasks su...

0 Tengfei Ma, et al. ∙

research

∙ 01/30/2018

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

The graph convolutional networks (GCN) recently proposed by Kipf and Wel...

0 Jie Chen, et al. ∙

research

∙ 12/21/2016

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data

Topic models have been successfully applied in lexicon extraction. Howev...

0 Tengfei Ma, et al. ∙

research

∙ 06/30/2016

Learning Crosslingual Word Embeddings without Bilingual Corpora

Crosslingual word embeddings represent lexical items from different lang...

0 Long Duong, et al. ∙

Tengfei Ma

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