Zeang Sheng

According to our database1, Zeang Sheng authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine.
Proc. VLDB Endow., July, 2024

Acceleration Algorithms in GNNs: A Survey.
CoRR, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Graph-Enforced Neural Network for Attributed Graph Clustering.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Graph Attention Multi-Layer Perceptron.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Graph Attention Multi-Layer Perceptron.
CoRR, 2021

Evaluating Deep Graph Neural Networks.
CoRR, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021


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