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Found 5 papers, 0 papers with code
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
We hypothesize that the absence of a standardized benchmark has allowed several fundamental pitfalls in GNN System design and evaluation that the community has overlooked.
Single-GPU GNN Systems: Traps and Pitfalls
The current graph neural network (GNN) systems have established a clear trend of not showing training accuracy results, and directly or indirectly relying on smaller datasets for evaluations majorly.
Weakly supervised information extraction from inscrutable handwritten document images
In this work, we focus on the complex problem of extracting medicine names from handwritten prescriptions using only weakly labeled data.
Pressure and temperature dependence of fluorescence anisotropy of Green Fluorescent Protein
At atmospheric pressure, anisotropy decreases with increasing temperature but exhibits a maximum with temperature for pressure larger than 20 MPa.
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey
We then provide a taxonomy of deep learning techniques to address these challenges.
