DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Published:
The paper discusses design and development of a distributed graph neural network training framework based on existing Deep Graph Library.
Posts by Collection
paper-reviews
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
Published:
The paper proposes a federated framework for privacy-preserving GNN-based recommendation which can train GNNs in a decentralized manner on user data.
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
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The paper is a research paper that proposes a new perspective to look at the performance degradation of deep graph neural networks (GNNs), which is feature overcorrelation.
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
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The paper discusses the results of conducting extensive experiments with a synthetic graph generator that can generate graphs having controlled characteristics for fine-grained analysis for node classification tasks.
Vision GNN: An Image is Worth Graph of Nodes
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The paper proposes to represent the image as a graph structure and introduce a new Vision GNN (ViG) architecture to extract graph-level feature for visual tasks.
research-projects
Memory Efficient GPU based CNN training framework
October 2021-January 2022 Mentor: Dr. Vishwesh Jatala
Designing a memory efficient CNN training framework to train large CNNs on a single GPU
Design Space Exploration for URL Shortener
January 2022-May 2022 Mentor: Dr. Gagan Raj Gupta
Analyzing and comparing the scalability and efficiency of different URL shortener designs
Exploring the LED Cipher
October 2022-December 2022 Mentor: Dr. Dhiman Saha
Understanding and cryptanalysing the LED cipher
Distributed Graph Neural Networks
January 2023-July 2023 Mentor: Dr. Gagan Raj Gupta and Dr. Vishwesh Jatala
Scalable and distributed efficient training of GNNs
Recommended citation: D. Deshmukh, G. R. Gupta, M. Chawla, V. Jatala and A. Haldar, "Entropy Aware Training for Fast and Accurate Distributed GNN," 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 2023, pp. 986-991 https://arxiv.org/abs/2311.02399
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Associate Mentor
Feelance tutoring, IB Hubs, 2021
Clarified 200+ students queries related to Python programming and Web Development
Teaching Assistant in Discrete Maths
Undergraduate course, IIT Bhilai, Department of Electrical Engineering and Computer Science, 2023
Conducted tutorial sessions to clear students doubts. Designed assignments to aid students learning. Conducted and graded quizzes.