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Hey, I really like your work on rank-collapse, and I am trying to understand the way the Dirichlet energy and rank_diff are calculated for each layer for each GNN.
From looking at the code, I under…
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Hello, I read "Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks", the repo said it is deployed into OpenHGNN. But the model in OpenHGNN can't run RPDD&TRD.
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Hello, from my superficial understanding, Het-Emotionnet describes a two-stream heterogeneous recurrent graph neural network, a graph neural network based on a multimodal data implementation. Accordin…
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Motif search for heterogeneous networks - especially temporal heterogeneous networks - has fundamental scalability challenges. [Neural Subgraph Matching](https://arxiv.org/abs/2007.03092) proposes a t…
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#### Related to Community Detection
- Large graph visualization using community detection
- Circling a set of nodes with a boundary such that obstruction is proportional to BFS
- [Nearly Balanced…
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### Title
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning
### Link
https://dl.acm.org/doi/abs/10.1145/3534678.3539324
### Year
2022
### Author …
l1tok updated
10 months ago
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https://github.com/wenqifan03/GraphRec-WWW19**Main Problem:**
This paper proposed a Graph model using neural networks. They represent users' social information as a graph: users' friends, users' rati…
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# 概要
embedding関係の総論的なディスカッションスペース
今後の調査方針なども含めて議論しましょう。
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## 🚀 Feature
Support for Generative Models
## Motivation
**DGL** is intuitive to use and there are some great examples. However, **DGL** lacks generative models.
I am wondering whether there …
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|논문|Graph Convolutional Networks for Text Classification|
|--|--|
|저자|Liang Yao, Chengsheng Mao, Yuan Luo|
|링크|https://arxiv.org/abs/1809.05679|
|학회|AAAI 2019|
# Contents
## 1. 초록은 뭐라고 말하고 있어 …