most citedMulti-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

10 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2025

KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng

Oleg Senkevich, Siyang Xu, Tianyi Jiang +13

Approximate Nearest Neighbor Search (ANNS) is a cornerstone algorithm for information retrieval, recommendation systems, and machine learning applications. While x86-based architec…

cs.CE2025

Few-shot Molecular Property Prediction: A Survey

Zeyu Wang, Tianyi Jiang, Huanchang Ma +6

AI-assisted molecular property prediction has become a promising technique in early-stage drug discovery and materials design in recent years. However, due to high-cost and complex…

cs.LG2025★ 1 cited

Adaptive Substructure-Aware Expert Model for Molecular Property Prediction

Tianyi Jiang, Zeyu Wang, Shanqing Yu +1

Molecular property prediction is essential for applications such as drug discovery and toxicity assessment. While Graph Neural Networks (GNNs) have shown promising results by model…

q-bio.QM2024

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction

Zeyu Wang, Tianyi Jiang, Yao Lu +4

Recently, few-shot molecular property prediction (FSMPP) has garnered increasing attention. Despite impressive breakthroughs achieved by existing methods, they often overlook the i…

q-bio.MN2024★ 10 cited

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

Zeyu Wang, Tianyi Jiang, Jinhuan Wang +1

Molecular property prediction refers to the task of labeling molecules with some biochemical properties, playing a pivotal role in the drug discovery and design process. Recently,…