Saved in:
| Main Authors: | Yuan, Peng, Tang, Peng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.04845 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026)
by: Lin, Xixun, et al.
Published: (2026)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
Learning Time-Varying Graphs from Incomplete Graph Signals
by: Peng, Chuansen, et al.
Published: (2025)
by: Peng, Chuansen, et al.
Published: (2025)
engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
by: Yang, Tiantian, et al.
Published: (2026)
by: Yang, Tiantian, et al.
Published: (2026)
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
by: Huang, Xin, et al.
Published: (2024)
by: Huang, Xin, et al.
Published: (2024)
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)
by: Cheng, Xu, et al.
Published: (2025)
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
by: Guliyev, Rustam, et al.
Published: (2024)
by: Guliyev, Rustam, et al.
Published: (2024)
SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2025)
by: Das, Siddhartha Shankar, et al.
Published: (2025)
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
by: Hordan, Snir, et al.
Published: (2025)
by: Hordan, Snir, et al.
Published: (2025)
DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs
by: Luo, Yuebo, et al.
Published: (2025)
by: Luo, Yuebo, et al.
Published: (2025)
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2024)
by: Das, Siddhartha Shankar, et al.
Published: (2024)
DeltaGNN: Graph Neural Network with Information Flow Control
by: Mancini, Kevin, et al.
Published: (2025)
by: Mancini, Kevin, et al.
Published: (2025)
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
by: Soussia, Mayssa, et al.
Published: (2025)
by: Soussia, Mayssa, et al.
Published: (2025)
Rethinking Structure Learning For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Enhancing Graph Neural Networks: A Mutual Learning Approach
by: Agbaje, Paul, et al.
Published: (2025)
by: Agbaje, Paul, et al.
Published: (2025)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
by: Dong, Zehao, et al.
Published: (2023)
by: Dong, Zehao, et al.
Published: (2023)
SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
by: Cui, Zhipu, et al.
Published: (2025)
by: Cui, Zhipu, et al.
Published: (2025)
CryptGNN: Enabling Secure Inference for Graph Neural Networks
by: Sen, Pritam, et al.
Published: (2025)
by: Sen, Pritam, et al.
Published: (2025)
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
by: Bicciato, Alessandro, et al.
Published: (2024)
by: Bicciato, Alessandro, et al.
Published: (2024)
Graph Neural Networks with a Distribution of Parametrized Graphs
by: Lee, See Hian, et al.
Published: (2023)
by: Lee, See Hian, et al.
Published: (2023)
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023)
by: Mukherjee, Kunal, et al.
Published: (2023)
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
by: Guo, Jingwei, et al.
Published: (2022)
by: Guo, Jingwei, et al.
Published: (2022)
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)
by: Ding, Mucong, et al.
Published: (2024)
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
by: Lukyanov, Kirill, et al.
Published: (2025)
by: Lukyanov, Kirill, et al.
Published: (2025)
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
by: Duan, Yifan, et al.
Published: (2024)
by: Duan, Yifan, et al.
Published: (2024)
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
by: Schneckenreiter, Lisa, et al.
Published: (2024)
by: Schneckenreiter, Lisa, et al.
Published: (2024)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)
by: Suri, Dhruv, et al.
Published: (2025)
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)
by: Fan, Shaohua, et al.
Published: (2021)
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)
by: Chen, Dong, et al.
Published: (2024)
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)
by: Liu, Jiahui, et al.
Published: (2024)
GNN: Graph Neural Network and Large Language Model for Data Discovery
by: Hoang, Thomas
Published: (2024)
by: Hoang, Thomas
Published: (2024)
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
AdS-GNN -- a Conformally Equivariant Graph Neural Network
by: Zhdanov, Maksim, et al.
Published: (2025)
by: Zhdanov, Maksim, et al.
Published: (2025)
Similar Items
-
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026) -
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024) -
Learning Time-Varying Graphs from Incomplete Graph Signals
by: Peng, Chuansen, et al.
Published: (2025) -
engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
by: Yang, Tiantian, et al.
Published: (2026) -
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
by: Huang, Xin, et al.
Published: (2024)