Exploring the spatial reasoning ability of neural models in human IQ tests

Predicting mechanism of action of novel compounds using compound structure and transcriptomic signature coembedding

Crowdsourced mapping of unexplored target space of kinase inhibitors

FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings

Enhancing the interpretability of transcription factor binding site prediction using attention mechanism

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

Bipartite Link Prediction by Intra-Class Connection Based Triadic Closure

Improved survival analysis by learning shared genomic information from pan-cancer data

Building a PubMed knowledge graph

Effectively training neural networks for stock index prediction: Predicting the S&P 500 index without using its index data