337 citations · 479 across the 29 of their papers we have counts for
34 papers
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Abir De, Soumen Chakrabarti
Submodular functions and variants, through their ability to characterize diversity and coverage, have emerged as a key tool for data selection and summarization. Many recent approa…
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy, Soumen Chakrabarti, Abir De
The graph retrieval problem is to search in a large corpus of graphs for ones that are most similar to a query graph. A common consideration for scoring similarity is the maximum c…
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…
Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
Subhabrata Dutta, Shravika Mittal, Dipankar Das +2
The behaviour of information cascades (such as retweets) has been modelled extensively. While point process-based generative models have long been in use for estimating cascade gro…
Question Answering Over Temporal Knowledge Graphs
Apoorv Saxena, Soumen Chakrabarti, Partha Talukdar
Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs by providing temporal scopes (start and end times) on each edge in the KG. While Question Answering over KG…
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Aman Jain, Mayank Kothyari, Vishwajeet Kumar +3
Multimodal IR, spanning text corpus, knowledge graph and images, called outside knowledge visual question answering (OKVQA), is of much recent interest. However, the popular data s…