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09/11/2023
Force-directed graph embedding with hops distance
Graph embedding has become an increasingly important technique for analy...
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08/21/2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Node classification using Graph Neural Networks (GNNs) has been widely a...
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03/13/2022
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns
Extracting cause-effect entities from medical literature is an important...
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03/13/2022
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction
Query similarity prediction task is generally solved by regression based...
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03/07/2022
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
In recent years, plentiful evidence illustrates that Graph Convolutional...
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06/28/2021
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Supervised learning, while deployed in real-life scenarios, often encoun...
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04/04/2021
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
Semantic relationships, such as hyponym-hypernym, cause-effect, meronym-...
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03/20/2019
Budgeted Reliability Maximization in Uncertain Graphs
Network reliability measures the probability that a target node is reach...
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03/11/2019
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
Increasing rates of opioid drug abuse and heightened prevalence of onlin...
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04/23/2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Network embedding methodologies, which learn a distributed vector repres...
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04/16/2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes
In a dynamic network, the neighborhood of the vertices evolve across dif...
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08/12/2017
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation
The name disambiguation task partitions a collection of records pertaini...
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02/08/2017
Name Disambiguation in Anonymized Graphs using Network Embedding
In real-world, our DNA is unique but many people share names. This pheno...
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10/25/2016
Dis-S2V: Discourse Informed Sen2Vec
Vector representation of sentences is important for many text processing...
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01/14/2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Link prediction, or predicting the likelihood of a link in a knowledge g...
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12/23/2015