77 citations · 129 across the 18 of their papers we have counts for
5 papers · 1 filter
Reinforcement Learning for ConnectX
Sheel Shah, Shubham Gupta
ConnectX is a two-player game that generalizes the popular game Connect 4. The objective is to get X coins across a row, column, or diagonal of an M x N board. The first player to…
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta, Srikanta Bedathur
Temporal graphs represent the dynamic relationships among entities and occur in many real life application like social networks, e commerce, communication, road networks, biologica…
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur +1
There has been a recent surge in learning generative models for graphs. While impressive progress has been made on static graphs, work on generative modeling of temporal graphs is…
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta, Ambedkar Dukkipati
Spectral clustering is widely used in practice due to its flexibility, computational efficiency, and well-understood theoretical performance guarantees. Recently, spectral clusteri…
Differentiable Rule Induction with Learned Relational Features
Remy Kusters, Yusik Kim, Marine Collery +2
Rule-based decision models are attractive due to their interpretability. However, existing rule induction methods often result in long and consequently less interpretable rule mode…