Saved in:
| Main Author: | Salcedo, Edwin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.16842 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
by: Poursiami, Hamed, et al.
Published: (2025)
by: Poursiami, Hamed, et al.
Published: (2025)
Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023)
by: Imani, Vandad, et al.
Published: (2023)
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024)
by: Wang, Limei, et al.
Published: (2024)
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
by: Cong, Guojing, et al.
Published: (2025)
by: Cong, Guojing, et al.
Published: (2025)
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)
Introduction to Predictive Coding Networks for Machine Learning
by: Stenlund, Mikko
Published: (2025)
by: Stenlund, Mikko
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)
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2025)
by: Apolinario, Marco Paul E., et al.
Published: (2025)
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
by: Yu, Runlong, et al.
Published: (2024)
by: Yu, Runlong, et al.
Published: (2024)
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
by: Qin, Lang, et al.
Published: (2022)
by: Qin, Lang, et al.
Published: (2022)
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
by: Miao, Jiaxing, et al.
Published: (2024)
by: Miao, Jiaxing, et al.
Published: (2024)
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)
by: Yin, Huifeng, et al.
Published: (2024)
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
by: Büssing, Jan, et al.
Published: (2026)
by: Büssing, Jan, et al.
Published: (2026)
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)
by: Li, Xingyu
Published: (2026)
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
by: Salvatori, Tommaso, et al.
Published: (2022)
by: Salvatori, Tommaso, et al.
Published: (2022)
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
by: Xu, Mingkun, et al.
Published: (2024)
by: Xu, Mingkun, et al.
Published: (2024)
EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
by: Yuksel, Kamer Ali, et al.
Published: (2026)
by: Yuksel, Kamer Ali, et al.
Published: (2026)
A Novel Reservoir Computing Framework for Chaotic Time Series Prediction Using Time Delay Embedding and Random Fourier Features
by: Laha, S. K.
Published: (2025)
by: Laha, S. K.
Published: (2025)
Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals
by: Jibon, Ferdaus Anam, et al.
Published: (2026)
by: Jibon, Ferdaus Anam, et al.
Published: (2026)
Attending to Graph Transformers
by: Müller, Luis, et al.
Published: (2023)
by: Müller, Luis, et al.
Published: (2023)
Predictive Coding Graphs are a Superset of Feedforward Neural Networks
by: van Zwol, Björn
Published: (2026)
by: van Zwol, Björn
Published: (2026)
Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
by: Drammis, Sabrina, et al.
Published: (2024)
by: Drammis, Sabrina, et al.
Published: (2024)
SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph
by: Zhang, Huizhe, et al.
Published: (2025)
by: Zhang, Huizhe, et al.
Published: (2025)
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025)
by: Mazurek, Szymon, et al.
Published: (2025)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, 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)
Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
by: Rubio-Solis, Adrian
Published: (2026)
by: Rubio-Solis, Adrian
Published: (2026)
Knowledge-aware Evolutionary Graph Neural Architecture Search
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
by: Zhang, Huizhe, et al.
Published: (2024)
by: Zhang, Huizhe, et al.
Published: (2024)
GraphBench: Next-generation graph learning benchmarking
by: Stoll, Timo, et al.
Published: (2025)
by: Stoll, Timo, et al.
Published: (2025)
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
by: Pei, Wenbin, et al.
Published: (2024)
by: Pei, Wenbin, et al.
Published: (2024)
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms
by: Goertzel, Ben
Published: (2025)
by: Goertzel, Ben
Published: (2025)
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
Graph Network Models To Detect Illicit Transactions In Block Chain
by: Adloori, Hrushyang, et al.
Published: (2024)
by: Adloori, Hrushyang, et al.
Published: (2024)
DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation
by: Liuliakov, Aleksei, et al.
Published: (2026)
by: Liuliakov, Aleksei, et al.
Published: (2026)
Similar Items
-
VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
by: Poursiami, Hamed, et al.
Published: (2025) -
Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025) -
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023) -
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024) -
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
by: Cong, Guojing, et al.
Published: (2025)