Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Chakraborty, Biswadeep, Kumawat, Hemant, Kang, Beomseok, Mukhopadhyay, Saibal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
by: Kumar, Harshit, et al.
Published: (2024)
by: Kumar, Harshit, et al.
Published: (2024)
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
by: Kumawat, Hemant, et al.
Published: (2024)
by: Kumawat, Hemant, et al.
Published: (2024)
Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)
by: Kang, Beomseok, et al.
Published: (2024)
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning
by: Chakraborty, Biswadeep, et al.
Published: (2025)
by: Chakraborty, Biswadeep, et al.
Published: (2025)
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
by: Kang, Beomseok, et al.
Published: (2024)
by: Kang, Beomseok, et al.
Published: (2024)
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
by: Kumawat, Hemant, et al.
Published: (2024)
by: Kumawat, Hemant, et al.
Published: (2024)
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents
by: Kumawat, Hemant, et al.
Published: (2024)
by: Kumawat, Hemant, et al.
Published: (2024)
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation
by: Kumar, Harshit, et al.
Published: (2024)
by: Kumar, Harshit, et al.
Published: (2024)
Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences
by: Zhang, Mellon M., et al.
Published: (2025)
by: Zhang, Mellon M., et al.
Published: (2025)
Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)
by: Chen, Su, et al.
Published: (2025)
Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
by: Ghawaly, James, et al.
Published: (2025)
by: Ghawaly, James, et al.
Published: (2025)
Dynamic Spiking Framework for Graph Neural Networks
by: Yin, Nan, et al.
Published: (2023)
by: Yin, Nan, et al.
Published: (2023)
Neural Point Process for Learning Spatiotemporal Event Dynamics
by: Zhou, Zihao, et al.
Published: (2021)
by: Zhou, Zihao, 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)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning
by: Liu, Bingqing
Published: (2024)
by: Liu, Bingqing
Published: (2024)
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
by: Zhou, Wang-Tao, et al.
Published: (2025)
by: Zhou, Wang-Tao, et al.
Published: (2025)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)
by: Xie, Hui, et al.
Published: (2025)
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
by: Yu, Dahai, et al.
Published: (2025)
by: Yu, Dahai, et al.
Published: (2025)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024)
by: Wang, Zepu, et al.
Published: (2024)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
by: Ding, Yongqi, et al.
Published: (2025)
by: Ding, Yongqi, et al.
Published: (2025)
Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
by: Xu, Jingqi, et al.
Published: (2025)
by: Xu, Jingqi, et al.
Published: (2025)
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)
by: Yin, Huifeng, et al.
Published: (2024)
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)
by: Gao, Mengzhou, et al.
Published: (2026)
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
by: Theisen, Maximilian F., et al.
Published: (2025)
by: Theisen, Maximilian F., et al.
Published: (2025)
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs
by: Abbasihafshejani, Maryam, et al.
Published: (2024)
by: Abbasihafshejani, Maryam, et al.
Published: (2024)
Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
by: Tang, Bo, et al.
Published: (2026)
by: Tang, Bo, et al.
Published: (2026)
Prediction of Clinical Complication Onset using Neural Point Processes
by: Weerasekara, Sachini, et al.
Published: (2025)
by: Weerasekara, Sachini, et al.
Published: (2025)
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)
by: Zhao, Tianyi, et al.
Published: (2024)
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
by: Attali, Hugo, et al.
Published: (2025)
by: Attali, Hugo, et al.
Published: (2025)
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)
by: Liang, Guojun, et al.
Published: (2024)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
Similar Items
-
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
by: Kumar, Harshit, et al.
Published: (2024) -
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024) -
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024) -
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024) -
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
by: Kumawat, Hemant, et al.
Published: (2024)