activity
20122023
most citedBitPath -- Label Order Constrained Reachability Queries over Large Graphs

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

End-to-end Differentiable Clustering with Associative Memories

Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki +1

Clustering is a widely used unsupervised learning technique involving an intensive discrete optimization problem. Associative Memory models or AMs are differentiable neural network…

cs.LG20231 cited

The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles

Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Transformers use the dense self-attention mechanism which gives a lot of flexibility for long-range connectivity. Over multiple layers of a deep transformer, the number of possible…

cs.CV2023

GVdoc: Graph-based Visual Document Classification

Fnu Mohbat, Mohammed J. Zaki, Catherine Finegan-Dollak +1

The robustness of a model for real-world deployment is decided by how well it performs on unseen data and distinguishes between in-domain and out-of-domain samples. Visual document…

cs.LG2022

Associative Learning for Network Embedding

Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki

The network embedding task is to represent the node in the network as a low-dimensional vector while incorporating the topological and structural information. Most existing approac…

cs.CL20221 cited

Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data

Jonathan Harris, Mohammed J. Zaki

With an increased interest in the production of personal health technologies designed to track user data (e.g., nutrient intake, step counts), there is now more opportunity than ev…

cs.DB20121 cited

BitPath -- Label Order Constrained Reachability Queries over Large Graphs

Medha Atre, Vineet Chaoji, Mohammed J. Zaki

In this paper we focus on the following constrained reachability problem over edge-labeled graphs like RDF -- "given source node x, destination node y, and a sequence of edge label…