18 citations · 23 across the 4 of their papers we have counts for
4 papers
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Aditya Sharma, Apoorv Saxena, Chitrank Gupta +3
Recent years have witnessed much interest in temporal reasoning over knowledge graphs (KG) for complex question answering (QA), but there remains a substantial gap in human capabil…
ProtoTEx: Explaining Model Decisions with Prototype Tensors
Anubrata Das, Chitrank Gupta, Venelin Kovatchev +2
We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks. ProtoTEx faithfully explains model decisions based on prototype tensors that enc…
Matching Models for Graph Retrieval
Chitrank Gupta, Yash Jain
Graph Retrieval has witnessed continued interest and progress in the past few years. In thisreport, we focus on neural network based approaches for Graph matching and retrieving si…
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
Chitrank Gupta, Yash Jain, Abir De +1
In recent years, inductive graph embedding models, \emph{viz.}, graph neural networks (GNNs) have become increasingly accurate at link prediction (LP) in online social networks. Th…