snap-stanford / rolandLinks
☆135Updated last year
Alternatives and similar repositories for roland
Users that are interested in roland are comparing it to the libraries listed below
Sorting:
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆251Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆92Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆139Updated 4 months ago
- ☆76Updated 2 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆71Updated last month
- ☆210Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆259Updated 6 months ago
- Dynamic Graph Benchmark☆81Updated 2 years ago
- ☆326Updated 11 months ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated 2 years ago
- ☆114Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- ☆55Updated 3 years ago
- Temporal Graph Benchmark project repo☆221Updated 3 weeks ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆98Updated last year
- ☆61Updated 4 years ago
- ☆100Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 7 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆62Updated 2 years ago
- ☆135Updated last year
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 2 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- A Survey of Learning from Graphs with Heterophily☆142Updated 3 months ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- Parameterized Explainer for Graph Neural Network☆134Updated last year
- The source code of HeCo☆166Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆83Updated 7 months ago
- Implement EvolveGCN by DGL.☆26Updated 3 years ago