DeepPanoContextOfficial PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).
Stars: ✭ 44 (+120%)
mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Stars: ✭ 27 (+35%)
text2textText2Text: Cross-lingual natural language processing and generation toolkit
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st-gcn-slSpatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition
Stars: ✭ 18 (-10%)
just-ask[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Stars: ✭ 57 (+185%)
LibAUCAn End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
Stars: ✭ 115 (+475%)
RL-based-Graph2Seq-for-NQGCode & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
Stars: ✭ 104 (+420%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (+355%)
MLH-QuizzetThis is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Stars: ✭ 23 (+15%)
PDNThe official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Stars: ✭ 44 (+120%)
DGL Chinese ManualThis is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
Stars: ✭ 61 (+205%)
explicit memory tracker[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Stars: ✭ 35 (+75%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-5%)
TDRGTransformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021
Stars: ✭ 32 (+60%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+2425%)
BGCNA Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Stars: ✭ 129 (+545%)
GaitGraphOfficial repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)
Stars: ✭ 68 (+240%)
Patch-GCNContext-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Stars: ✭ 63 (+215%)
question generatorAn NLP system for generating reading comprehension questions
Stars: ✭ 188 (+840%)
ASAPAAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Stars: ✭ 83 (+315%)
Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (+40%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Stars: ✭ 434 (+2070%)
Graph Neural NetGraph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Stars: ✭ 27 (+35%)
beirA Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Stars: ✭ 738 (+3590%)
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (+30%)
MSRGCNOfficial implementation of MSR-GCN (ICCV2021 paper)
Stars: ✭ 42 (+110%)
GraphDeeSmartContractSmart contract vulnerability detection using graph neural network (DR-GCN).
Stars: ✭ 84 (+320%)
unsupervised-qaTemplate-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Stars: ✭ 47 (+135%)
question-generationNeural Models for Key Phrase Detection and Question Generation
Stars: ✭ 29 (+45%)
FocusSeq2Seq[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
Stars: ✭ 109 (+445%)
GraphMixCode for reproducing results in GraphMix paper
Stars: ✭ 64 (+220%)
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+13405%)
StellargraphStellarGraph - Machine Learning on Graphs
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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