2 citations · 8 across the 16 of their papers we have counts for
4 papers · 1 filter
Understanding and Predicting Links in Graphs: A Persistent Homology Perspective
Sumit Bhatia, Bapi Chatterjee, Deepak Nathani +1
Persistent Homology is a powerful tool in Topological Data Analysis (TDA) to capture topological properties of data succinctly at different spatial resolutions. For graphical data,…
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Sumit Bhatia, Deepak P
Ideological leanings of an individual can often be gauged by the sentiment one expresses about different issues. We propose a simple framework that represents a political ideology…
Bernoulli Embeddings for Graphs
Vinith Misra, Sumit Bhatia
Just as semantic hashing can accelerate information retrieval, binary valued embeddings can significantly reduce latency in the retrieval of graphical data. We introduce a simple b…
Tell Me Why Is It So? Explaining Knowledge Graph Relationships by Finding Descriptive Support Passages
Sumit Bhatia, Purusharth Dwivedi, Avneet Kaur
We address the problem of finding descriptive explanations of facts stored in a knowledge graph. This is important in high-risk domains such as healthcare, intelligence, etc. where…