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The Top 23 Graph Convolutional Networks Open Source Projects

Open source projects categorized as Graph Convolutional Networks
Categories > Graph Convolutional Networks
Graph Domain Adaptaion ⭐ 43
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
most recent commit 3 years ago
Dcgcn ⭐ 43
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
most recent commit 5 years ago
Ieee_tnnls_tstnet ⭐ 42
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification. IEEE TNNLS, 2021.
most recent commit 3 months ago
Srw Net ⭐ 42
Semantic Room Wireframe Detection from a single perspective image
most recent commit a year ago
Confgcn ⭐ 39
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
most recent commit 5 years ago
Stage_action_detection ⭐ 38
Code of the STAGE module for video action detection
most recent commit 3 years ago
Cova Web Object Detection ⭐ 37
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
most recent commit a year ago
Acm Gnn ⭐ 36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
most recent commit 7 months ago
Meta Gnn ⭐ 36
Implementation of Meta-GNN in TensorFlow
most recent commit 3 years ago
Gcmc ⭐ 36
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
most recent commit 5 years ago
Geo Gcn ⭐ 35
The official implementation of the SGCN architecture.
most recent commit 2 years ago
Graph Classification ⭐ 35
A collection of graph classification methods
most recent commit 4 years ago
Network Deconfounder Wsdm20 ⭐ 35
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
most recent commit 3 years ago
Dynamic Gcnn ⭐ 32
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
most recent commit 5 years ago
Memgcn ⭐ 32
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
most recent commit 5 years ago
Trendgcn ⭐ 32
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
most recent commit 8 months ago
Gatraj ⭐ 31
[ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"
most recent commit 6 months ago
Srgcae ⭐ 31
[IEEE TGRS 2022] Official Pytorch implementation for Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
most recent commit 3 months ago
Dstgcn ⭐ 28
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
most recent commit 2 years ago
Step ⭐ 28
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
most recent commit 2 years ago
Spectral Designed Graph Convolutions ⭐ 28
Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
most recent commit 3 years ago
Gridconv ⭐ 27
The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)
most recent commit 4 months ago
Pipegcn ⭐ 26
[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
most recent commit a year ago
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