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15 search results found

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Gnn4nlp Papers ⭐ 824

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Fastgcn ⭐ 377

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Spatio Temporal Papers ⭐ 194

This 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.

Person_search_gcn ⭐ 112

This repository hosts the code for our paper “Learning Context Graph for Person Search”, CVPR2019 Oral

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Extremely Fine Grained Entity Typing ⭐ 61

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

Bayesgrad ⭐ 48

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

Network Deconfounder Wsdm20 ⭐ 35

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Awesome Graph Learning Papers ⭐ 7

A curated list of graph learning papers, articles, tutorials, slides and projects

Graph In Recommendation Systems ⭐ 7

GNNs in Recommendation Systems

Chainer Formulanet ⭐ 6

Chainer implementation of FormulaNet

Graph Convolutional Networks in JAX

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

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