Yiminghh / HiGCNLinks
☆24Updated last year
Alternatives and similar repositories for HiGCN
Users that are interested in HiGCN are comparing it to the libraries listed below
Sorting:
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Updated 3 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆60Updated 2 years ago
- The source code of SpCo☆35Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Updated 2 years ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆13Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Updated 3 years ago
- The implementation for DropMessage.☆39Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Updated last year
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated last year
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆34Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- ☆19Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 3 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Updated 2 years ago
- ☆38Updated 4 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 3 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆46Updated last year
- ☆17Updated last year
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"☆36Updated last year
- ☆17Updated 6 months ago