Search Results for author:
Found 6 papers, 3 papers with code
Inverse Molecular Design with Multi-Conditional Diffusion Guidance
We extensively validate our model for multi-conditional polymer and small molecule generation.
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
A conventional approach is training a model with the unlabeled graphs on self-supervised tasks and then fine-tuning the model on the prediction tasks.
Graph Rationalization with Environment-based Augmentations
Rationale is defined as a subset of input features that best explains or supports the prediction by machine learning models.
Ranked #1 on
Graph Regression
on GlassTemp
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs in real time.
Literature Review: Human Segmentation with Static Camera
Our research topic is Human segmentation with static camera.
House Price Prediction Using LSTM
In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijing, Shanghai, Guangzhou and Shenzhen.
