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Luan, Sitao
18  Ergebnisse:
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1

Training Matters: Unlocking Potentials of Deeper Graph Conv..:

, In: Complex Networks & Their Applications XII; Studies in Computational Intelligence,
Luan, Sitao ; Zhao, Mingde ; Chang, Xiao-Wen. - p. 49-60 , 2024
Link: https://doi.org/10.1007/..
 
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2

When Do We Need Graph Neural Networks for Node Classificati..:

, In: Complex Networks & Their Applications XII; Studies in Computational Intelligence,
Luan, Sitao ; Hua, Chenqing ; Lu, Qincheng... - p. 37-48 , 2024
Link: https://doi.org/10.1007/..
 
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3

META-Learning State-based Eligibility Traces for More Sampl..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,
Zhao, Mingde ; Luan, Sitao ; Porada, Ian.. - p. 1647-1655 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

MUDiff: Unified Diffusion for Complete Molecule Generation:

Hua, Chenqing ; Luan, Sitao ; Xu, Minkai...
http://arxiv.org/abs/2304.14621.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

When Do Graph Neural Networks Help with Node Classification..:

Luan, Sitao ; Hua, Chenqing ; Xu, Minkai...
http://arxiv.org/abs/2304.14274.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

On Addressing the Limitations of Graph Neural Networks:

Luan, Sitao
http://arxiv.org/abs/2306.12640.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

When Do We Need Graph Neural Networks for Node Classificati..:

Luan, Sitao ; Hua, Chenqing ; Lu, Qincheng...
http://arxiv.org/abs/2210.16979.  , 2022
Link: http://arxiv.org/abs/221..
 
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8

Graph Neural Networks Intersect Probabilistic Graphical Mod..:

Hua, Chenqing ; Luan, Sitao ; Zhang, Qian.
http://arxiv.org/abs/2206.06089.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Complete the Missing Half: Augmenting Aggregation Filtering..:

Luan, Sitao ; Zhao, Mingde ; Hua, Chenqing..
http://arxiv.org/abs/2212.10822.  , 2022
Link: http://arxiv.org/abs/221..
 
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10

Revisiting Heterophily For Graph Neural Networks:

Luan, Sitao ; Hua, Chenqing ; Lu, Qincheng...
http://arxiv.org/abs/2210.07606.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

A Consciousness-Inspired Planning Agent for Model-Based Rei..:

Zhao, Mingde ; Liu, Zhen ; Luan, Sitao...
http://arxiv.org/abs/2106.02097.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Is Heterophily A Real Nightmare For Graph Neural Networks T..:

Luan, Sitao ; Hua, Chenqing ; Lu, Qincheng...
http://arxiv.org/abs/2109.05641.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Complete the Missing Half: Augmenting Aggregation Filtering..:

Luan, Sitao ; Zhao, Mingde ; Hua, Chenqing..
http://arxiv.org/abs/2008.08844.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Training Matters: Unlocking Potentials of Deeper Graph Conv..:

Luan, Sitao ; Zhao, Mingde ; Chang, Xiao-Wen.
http://arxiv.org/abs/2008.08838.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

META-Learning State-based Eligibility Traces for More Sampl..:

Zhao, Mingde ; Luan, Sitao ; Porada, Ian..
http://arxiv.org/abs/1904.11439.  , 2019
Link: http://arxiv.org/abs/190..
 
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