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Yuan-Fang Li

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

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