activity
20202025
most citedTowards Deeper Graph Neural Networks

515 citations · 755 across the 20 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Video Timeline Modeling For News Story Understanding

Meng Liu, Mingda Zhang, Jialu Liu +5

In this paper, we present a novel problem, namely video timeline modeling. Our objective is to create a video-associated timeline from a set of videos related to a specific topic,…

cs.LG2023★ 16 cited

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Xuan Zhang, Limei Wang, Jacob Helwig +60

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating…

cs.LG2023★ 3 cited

Graph Mixup with Soft Alignments

Hongyi Ling, Zhimeng Jiang, Meng Liu +2

We study graph data augmentation by mixup, which has been used successfully on images. A key operation of mixup is to compute a convex combination of a pair of inputs. This operati…

physics.chem-ph2023★ 3 cited

QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules

Haiyang Yu, Meng Liu, Youzhi Luo +4

Supervised machine learning approaches have been increasingly used in accelerating electronic structure prediction as surrogates of first-principle computational methods, such as d…

cs.LG2023★ 8 cited

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization

Shurui Gui, Meng Liu, Xiner Li +2

We tackle the problem of graph out-of-distribution (OOD) generalization. Existing graph OOD algorithms either rely on restricted assumptions or fail to exploit environment informat…

physics.chem-ph2023

3D Molecular Geometry Analysis with 2D Graphs

Zhao Xu, Yaochen Xie, Youzhi Luo +7

Ground-state 3D geometries of molecules are essential for many molecular analysis tasks. Modern quantum mechanical methods can compute accurate 3D geometries but are computationall…