211 Open source projects that are alternatives of or similar to awesome-efficient-gnn

Graph-based Deep Q Network for Web Navigation

Knowledge Distillation using Tensorflow

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

A graph-based deep learning framework for life science

Model optimizer used in Adlik.

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

TypeDB-ML is the Machine Learning integrations library for TypeDB

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Combining relational context and relational paths for knowledge graph completion

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Reimplementing cool papers in PyTorch...

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Implement of DiGCN, NeurIPS-2020

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

odr.chalmers.se/handle/20.500.12380/256629?locale=en

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Combining relational context and relational paths for knowledge graph completion

Implementation of Directional Graph Networks in PyTorch and DGL

ZSKD with PyTorch

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

Code for reproducing results in GraphMix paper

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Localization Distillation for Dense Object Detection (CVPR 2022)

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Demo of RouteNet in ACM SIGCOMM'19

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

A spherical convolutional neural network for cosmology (TFv1).

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Papers about explainability of GNNs

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)