Ali Parviz

TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs

M$^{4}$olGen: Multi-Agent, Multi-Stage Molecular Generation under Precise Multi-Property Constraints

GraphBench: Next-generation graph learning benchmarking

Leto: Modeling Multivariate Time Series with Memorizing at Test Time

Are Large Language Models Good Temporal Graph Learners?

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation

Best of Both Worlds: Advantages of Hybrid Graph Sequence Models

Towards an Understanding of Graph Sequence Models