Are Large Language Models Good Temporal Graph Learners?
CoRR, June, 2025
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models.
CoRR, 2024
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning.
CoRR, 2024
Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory.
CoRR, 2024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Generalized Laplacian Positional Encoding for Graph Representation Learning.
CoRR, 2022
Long Range Graph Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022