273 citations · 683 across the 114 of their papers we have counts for
10 papers · 1 filter
Node Injection for Class-specific Network Poisoning
Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda +1
Graph Neural Networks (GNNs) are powerful in learning rich network representations that aid the performance of downstream tasks. However, recent studies showed that GNNs are vulner…
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti +1
The Transformer and its variants have been proven to be efficient sequence learners in many different domains. Despite their staggering success, a critical issue has been the enorm…
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri +1
Due to the over-emphasize of the quantity of data, the data quality has often been overlooked. However, not all training data points contribute equally to learning. In particular,…
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
Siddharth Bhatia, Yiwei Wang, Bryan Hooi +1
Finding anomalous snapshots from a graph has garnered huge attention recently. Existing studies address the problem using shallow learning mechanisms such as subspace selection, eg…
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
Yash Kumar Atri, Shraman Pramanick, Vikram Goyal +1
In recent years, abstractive text summarization with multimodal inputs has started drawing attention due to its ability to accumulate information from different source modalities a…
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
Deepak Thukral, Adesh Pandey, Rishabh Gupta +2
Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies…