Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

Zhikai Chen, Haitao Mao, Hang Li, +8

ACM SIGKDD Explorations Newsletter

Structured PredictionGraph Representation LearningMachine LearningEngineeringLarge Language Model +18

Graph Neural Networks for Multimodal Single-Cell Data Integration

Hongzhi Wen, Jiayuan Ding, Wei Jin, +3

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

CellPLM: Pre-training of Cell Language Model Beyond Single Cells

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, +4

Structured PredictionLlm Fine-tuningEngineeringMachine LearningMultilingual Pretraining +15

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Zhikai Chen, Haitao Mao, Hang Li, +8

arXiv (Cornell University)

Structured PredictionGraph Representation LearningMachine LearningEngineeringLarge Language Model +18

Deep Learning in Single-cell Analysis

Dylan Molho, Jiayuan Ding, Wenzhuo Tang, +12

ACM Transactions on Intelligent Systems and Technology

Convolutional Neural NetworkEngineeringMachine LearningTrajectory AnalysisData Science +15

Single-Cell Multimodal Prediction via Transformers

Wenzhuo Tang, Hongzhi Wen, Renming Liu, +5

A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models

Wenzhuo Tang, Renming Liu, Hongzhi Wen, +6

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li, +17

arXiv (Cornell University)

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Zhikai Chen, Haitao Mao, Hongzhi Wen, +5

arXiv (Cornell University)

DANCE: a deep learning library and benchmark platform for single-cell analysis

Jiayuan Ding, Renming Liu, Hongzhi Wen, +13

Genome biology