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Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

15 August 2022
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
    GNN
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Papers citing "Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks"

15 / 15 papers shown
Title
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
Yuanyuan Xu
Wenjie Zhang
Xuemin Lin
Y. Zhang
AI4TS
39
0
0
23 Feb 2025
Hybrid variable spiking graph neural networks for energy-efficient
  scientific machine learning
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning
Isha Jain
Shailesh Garg
Shaurya Shriyam
Souvik Chakraborty
GNN
68
0
0
12 Dec 2024
Spiking Graph Neural Network on Riemannian Manifolds
Spiking Graph Neural Network on Riemannian Manifolds
Li Sun
Zhenhao Huang
Qiqi Wan
Hao Peng
Philip S. Yu
GNN
AI4CE
27
1
0
23 Oct 2024
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
Yingxu Wang
Mengzhu Wang
Siwei Liu
Shangsong Liang
Nan Yin
James Kwok
31
3
0
09 Oct 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation
  Learning through Spatial-Temporal Normalization and Coding Strategies
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
M. Xu
Huifeng Yin
Yujie Wu
Guoqi Li
Faqiang Liu
Jing Pei
Shuai Zhong
Lei Deng
27
0
0
30 Jul 2024
State Space Models on Temporal Graphs: A First-Principles Study
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
63
3
0
03 Jun 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao
Yixin Zhu
D.K. He
Zhouchen Lin
LRM
30
4
0
27 May 2024
Continuous Spiking Graph Neural Networks
Continuous Spiking Graph Neural Networks
Nan Yin
Mengzhu Wang
Li Shen
Hitesh Laxmichand Patel
Baopu Li
Bin Gu
Huan Xiong
GNN
29
10
0
02 Apr 2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph
  Attention
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
Yundong Sun
Dongjie Zhu
Yansong Wang
Zhaoshuo Tian
Ning Cao
Gregory O'Hared
38
1
0
21 Mar 2024
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph
  Representation Learning
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
Dong Chen
Shuai Zheng
Muhao Xu
Zhenfeng Zhu
Yao-Min Zhao
37
3
0
11 Mar 2024
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
39
0
0
28 Nov 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets
  Spiking Neural Networks
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li
Huizhe Zhang
Ruofan Wu
Zulun Zhu
Baokun Wang
Changhua Meng
Zibin Zheng
Liang Chen
SSL
30
9
0
30 May 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph
  Learning
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
Chao Chen
Haoyu Geng
Nianzu Yang
Xiaokang Yang
Junchi Yan
27
8
0
22 Mar 2023
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
102
89
0
03 Feb 2022
Beyond Classification: Directly Training Spiking Neural Networks for
  Semantic Segmentation
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
Youngeun Kim
Joshua Chough
Priyadarshini Panda
40
79
0
14 Oct 2021
1