yuziGuo / ClenshawGNNLinks
☆11Updated 2 years ago
Alternatives and similar repositories for ClenshawGNN
Users that are interested in ClenshawGNN are comparing it to the libraries listed below
Sorting:
- ☆14Updated 11 months ago
- Instant Graph Neural Networks for Dynamic Graphs☆11Updated 2 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 10 months ago
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆32Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆274Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆58Updated 2 years ago
- ☆22Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆134Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆37Updated 6 months ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- ☆123Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 9 months ago
- ☆13Updated 2 years ago
- Benchmark☆106Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆94Updated 6 months ago
- ☆42Updated 2 years ago
- ☆59Updated last year
- Pytorch implementation of EvenNet.☆20Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆264Updated 11 months ago
- [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths☆12Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆37Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 6 months ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆15Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago