zirui-ray-liu / Exact
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Exact
- ICLR 2021☆44Updated 3 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆33Updated 3 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆62Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆63Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆76Updated 2 months ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆21Updated 2 years ago
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆21Updated last year
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆37Updated 4 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆86Updated last month
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- ☆23Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated 2 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆28Updated last year
- ☆12Updated 3 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last year
- ☆36Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆55Updated last year
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 3 years ago
- ☆15Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆31Updated 2 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆11Updated 8 months ago
- LazyGCN☆9Updated 4 years ago
- ☆21Updated 2 years ago
- ☆15Updated 4 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year