gravins / dynamic_graph_benchmark
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
☆22Updated 9 months ago
Alternatives and similar repositories for dynamic_graph_benchmark:
Users that are interested in dynamic_graph_benchmark are comparing it to the libraries listed below
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆69Updated 6 months ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆66Updated 3 years ago
- ☆99Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆115Updated last year
- ☆76Updated 2 years ago
- ☆133Updated last year
- ☆43Updated 4 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆235Updated last year
- Dynamic Graph Benchmark☆78Updated 2 years ago
- Temporal Graph Analysis with TGX☆25Updated 6 months ago
- An Empirical Evaluation of Temporal Graph Benchmark☆33Updated last year
- ☆19Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated last year
- TGB baselines for dynamic link property prediction☆21Updated 3 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆138Updated 2 months ago
- ☆13Updated 10 months ago
- ☆206Updated last year
- ☆18Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆253Updated 4 months ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆47Updated last year
- BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks☆20Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆115Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆80Updated 6 months ago
- A curated list of papers on graph structure learning (GSL).☆48Updated 3 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆80Updated 5 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆58Updated last year
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 10 months ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 5 months ago