jeongwhanchoi / PANDALinks
πΌPANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
β20Updated 9 months ago
Alternatives and similar repositories for PANDA
Users that are interested in PANDA are comparing it to the libraries listed below
Sorting:
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paperβ17Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)β54Updated 2 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".β31Updated 2 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.β29Updated 2 months ago
- β18Updated last year
- Official implementation for paper: Probabilistically Rewired Message-Passing Neural Networks, accepted at ICLR 2024.β21Updated 4 months ago
- Published as a journal paper at DAMI 2023β16Updated 4 months ago
- FoSR: First-order spectral rewiring for addressing oversquashing in GNNsβ9Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applicationsβ¦β54Updated 2 years ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphsβ18Updated 11 months ago
- Published as a conference paper at ICLR 2024β24Updated last year
- β31Updated last year
- β22Updated 2 years ago
- Papers about developing DL methods on disassortative graphsβ48Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity oβ¦β32Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"β45Updated last year
- β22Updated last year
- Easy-to-use framework for graph continual learning with Pythonβ36Updated 8 months ago
- A Note On Over-Smoothing for Graph Neural Networkβ20Updated 4 years ago
- β21Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"β80Updated 3 years ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"β23Updated 2 years ago
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)β37Updated last year
- β47Updated 10 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insightsβ44Updated 6 months ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23β13Updated last year
- A library for subgraph GNN based on pygβ41Updated 6 months ago
- WWW22 - MiDaS: Representative Hypergraph Samplingβ12Updated last year
- Code for our paper "Attending to Graph Transformers"β88Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminatingβ52Updated 2 years ago