8 citations · 35 across the 13 of their papers we have counts for
13 papers
xLP: Explainable Link Prediction for Master Data Management
Balaji Ganesan, Matheen Ahmed Pasha, Srinivasa Parkala +6
Explaining neural model predictions to users requires creativity. Especially in enterprise applications, where there are costs associated with users' time, and their trust in the m…
xEM: Explainable Entity Matching in Customer 360
Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan +2
Entity matching in Customer 360 is the task of determining if multiple records represent the same real world entity. Entities are typically people, organizations, locations, and ev…
Similar Cases Recommendation using Legal Knowledge Graphs
Jaspreet Singh Dhani, Ruchika Bhatt, Balaji Ganesan +2
A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, an…
Reimagining GNN Explanations with ideas from Tabular Data
Anjali Singh, Shamanth R Nayak K, Balaji Ganesan
Explainability techniques for Graph Neural Networks still have a long way to go compared to explanations available for both neural and decision decision tree-based models trained o…
Towards Automated Evaluation of Explanations in Graph Neural Networks
Vanya BK, Balaji Ganesan, Aniket Saxena +2
Explaining Graph Neural Networks predictions to end users of AI applications in easily understandable terms remains an unsolved problem. In particular, we do not have well develope…
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Abhay M Shalghar, Ayush Kumar, Balaji Ganesan +3
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems. While there have been efforts towards populating domain specific…
Explainable Link Prediction for Privacy-Preserving Contact Tracing
Balaji Ganesan, Hima Patel, Sameep Mehta
Contact Tracing has been used to identify people who were in close proximity to those infected with SARS-Cov2 coronavirus. A number of digital contract tracing applications have be…
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan, Srinivas Parkala, Neeraj R Singh +5
Learning graph representations of n-ary relational data has a number of real world applications like anti-money laundering, fraud detection, and customer due diligence. Contact tra…
Data Augmentation for Personal Knowledge Base Population
Lingraj S Vannur, Balaji Ganesan, Lokesh Nagalapatti +2
Cold start knowledge base population (KBP) is the problem of populating a knowledge base from unstructured documents. While artificial neural networks have led to significant impro…
A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh +2
A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for b…
Document Structure Measure for Hypernym discovery
Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan +2
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypern…
Fine Grained Classification of Personal Data Entities
Riddhiman Dasgupta, Balaji Ganesan, Aswin Kannan +2
Entity Type Classification can be defined as the task of assigning category labels to entity mentions in documents. While neural networks have recently improved the classification…
Collective Learning From Diverse Datasets for Entity Typing in the Wild
Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan +2
Entity typing (ET) is the problem of assigning labels to given entity mentions in a sentence. Existing works for ET require knowledge about the domain and target label set for a gi…