EdisonLeeeee / SpikeNetLinks
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
☆70Updated last year
Alternatives and similar repositories for SpikeNet
Users that are interested in SpikeNet are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆29Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Updated 6 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated last year
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated last year
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆69Updated 4 years ago
- A TensorFlow implementation of GraphHeat☆16Updated 5 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- ☆49Updated 2 months ago
- [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning☆10Updated last year
- The link of DGNN's model and some datasets☆17Updated 3 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 3 months ago
- ☆101Updated last year
- ☆20Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 11 months ago
- A graph transformer framework☆77Updated 3 years ago
- A paper collection about automated graph learning☆98Updated last year
- ☆116Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated last year
- ☆20Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- ☆111Updated 4 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆263Updated 2 years ago
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 4 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated last year
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆253Updated last year