pb-gcnCode for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Stars: ✭ 32 (-64.04%)
FreebaseQAThe release of the FreebaseQA data set (NAACL 2019).
Stars: ✭ 55 (-38.2%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+487.64%)
MoTISMobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.
Stars: ✭ 60 (-32.58%)
TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Stars: ✭ 30 (-66.29%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-78.65%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-78.65%)
Spatio-Temporal-papersThis project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Stars: ✭ 180 (+102.25%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (-24.72%)
CogIECogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021
Stars: ✭ 47 (-47.19%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+467.42%)
Few-NERDCode and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Stars: ✭ 317 (+256.18%)
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Stars: ✭ 43 (-51.69%)
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
Stars: ✭ 73 (-17.98%)
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
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awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
Stars: ✭ 498 (+459.55%)
SelfGNNA PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
Stars: ✭ 24 (-73.03%)
DSTGCNcodes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
Stars: ✭ 37 (-58.43%)
L2-GCN[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Stars: ✭ 26 (-70.79%)
event-extraction-paperPapers from top conferences and journals for event extraction in recent years
Stars: ✭ 54 (-39.33%)
AliNetKnowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Stars: ✭ 89 (+0%)
SpaceFusionNAACL'19: "Jointly Optimizing Diversity and Relevance in Neural Response Generation"
Stars: ✭ 73 (-17.98%)
EulerA distributed graph deep learning framework.
Stars: ✭ 2,701 (+2934.83%)
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (+2411.24%)
Pytorch geometricGraph Neural Network Library for PyTorch
Stars: ✭ 13,359 (+14910.11%)
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
Stars: ✭ 4,309 (+4741.57%)
GraphTSNEPyTorch Implementation of GraphTSNE, ICLR’19
Stars: ✭ 113 (+26.97%)
mvGAEDrug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
Stars: ✭ 27 (-69.66%)
GCMCCode for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Stars: ✭ 48 (-46.07%)
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (-1.12%)
CoVA-Web-Object-DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Stars: ✭ 18 (-79.78%)
TAGCNTensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
Stars: ✭ 17 (-80.9%)
PyTorch-GNNsThe implement of GNN based on Pytorch
Stars: ✭ 121 (+35.96%)
graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Stars: ✭ 69 (-22.47%)
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (+2.25%)
NeuralDaterACL 2018: Dating Documents using Graph Convolution Networks
Stars: ✭ 60 (-32.58%)
STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (-56.18%)
LMENeural Entity Typing with Language Model Enhancement
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KNETNeural Entity Typing with Knowledge Attention
Stars: ✭ 65 (-26.97%)
NSP-BERTThe code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Stars: ✭ 166 (+86.52%)
zoeZero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
Stars: ✭ 37 (-58.43%)