qianghuangwhu / benchtemp
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
☆20Updated last year
Alternatives and similar repositories for benchtemp:
Users that are interested in benchtemp are comparing it to the libraries listed below
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆229Updated last year
- ☆204Updated last year
- An Empirical Evaluation of Temporal Graph Benchmark☆32Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆59Updated last year
- Code repository for the VLDB2023 paper "Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank".☆11Updated 11 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 4 months ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆35Updated 4 years ago
- ☆24Updated 4 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆77Updated 4 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 6 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆67Updated 5 months ago
- ☆134Updated last year
- ☆77Updated 2 years ago
- ☆99Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆129Updated last month
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆108Updated 9 months ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆28Updated last year
- Dynamic Graph Benchmark☆77Updated 2 years ago
- ☆171Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆247Updated 3 months ago
- Code for OGC and GGCM☆14Updated 6 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆113Updated 2 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated 10 months ago
- ☆52Updated 3 years ago
- ☆59Updated 4 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated 10 months ago
- ☆135Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆43Updated last year
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆23Updated 8 months ago