ml-postech / reverse-gnnLinks
☆11Updated last year
Alternatives and similar repositories for reverse-gnn
Users that are interested in reverse-gnn are comparing it to the libraries listed below
Sorting:
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆21Updated last year
- ☆36Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆184Updated 2 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 4 years ago
- ☆42Updated 2 years ago
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆21Updated last year
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆31Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- ☆41Updated 3 years ago
- GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)☆83Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Updated 7 months ago
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification☆71Updated 2 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆41Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆204Updated 10 months ago
- Graph Neural Convection-Diffusion with Heterophily☆11Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Updated 2 years ago
- ☆25Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 weeks ago
- ☆18Updated 2 years ago
- ☆35Updated 5 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago