lygztq / SEAggregationLinks
Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"
☆33Updated 3 years ago
Alternatives and similar repositories for SEAggregation
Users that are interested in SEAggregation are comparing it to the libraries listed below
Sorting:
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Awesome machine learning for temporal point processes papers.☆20Updated 3 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- ☆62Updated 4 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆23Updated 4 months ago
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆134Updated last year
- Random Walk Graph Neural Networks☆54Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆180Updated 2 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- ☆10Updated 3 years ago
- ☆11Updated last year
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- Deep Point Process by PyTorch☆28Updated 4 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆13Updated 7 months ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 4 months ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 10 months ago