gravins / NumGraph
Synthetic graph generator
☆13Updated 10 months ago
Related projects: ⓘ
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆10Updated 2 months ago
- ☆17Updated last year
- An Empirical Evaluation of Temporal Graph Benchmark☆25Updated last year
- Dynamic Graph Benchmark☆67Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆45Updated 3 years ago
- Graph Structured Neural Network☆38Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆85Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆15Updated 2 months ago
- Code and dataset to test empirically the expressive power of graph pooling operators.☆31Updated 10 months ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆11Updated last week
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- Gradient gating (ICLR 2023)☆51Updated last year
- ☆24Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- Higher-order clustering and pooling for GNNs☆8Updated last year
- ☆39Updated last month
- Rex Ying's Ph.D. Thesis, Stanford University☆39Updated 2 years ago
- ☆18Updated last year
- ☆43Updated 4 months ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆37Updated last year
- ☆27Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆12Updated last year
- ☆52Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆52Updated last year
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023☆11Updated 10 months ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆25Updated 3 months ago
- Neural Dynamics on Complex Networks☆49Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆30Updated last year
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆26Updated last year