Graphite: Iterative Generative Modeling of Graphs

28 March 2018

Papers citing "Graphite: Iterative Generative Modeling of Graphs"

50 / 157 papers shown

Title
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 101 0 0 11 Feb 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 74 1 0 29 Nov 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 34 1 0 03 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 36 0 0 18 Sep 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 46 1 0 16 Sep 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 38 1 0 08 Aug 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 50 1 0 07 Jun 2024
Generated Contents Enrichment Mahdi Naseri Jiayan Qiu Zhou Wang 37 0 0 06 May 2024
Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports Tiantian Zhu Jie Ying Tieming Chen Chunlin Xiong Wenrui Cheng Qixuan Yuan Aohan Zheng Mingqi Lv Yan Chen 36 4 0 05 May 2024
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs Xindi Zheng Yuwei Wu Yu Pan Wanyu Lin Lei Ma Jianjun Zhao 41 1 0 26 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 37 1 0 23 Apr 2024
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification Hanxuan Yang Zhaoxin Yu Qingchao Kong Wei Liu Wenji Mao SSL 33 0 0 26 Mar 2024
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs Huaisheng Zhu Teng Xiao V. Honavar DiffM 40 5 0 11 Mar 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 37 7 0 26 Feb 2024
Unsupervised Learning of Graph from Recipes Aissatou Diallo Antonis Bikakis Luke Dickens Anthony Hunter Rob Miller SSL 17 0 0 22 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 32 7 0 28 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 21 12 0 14 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 22 0 0 09 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 18 1 0 06 Dec 2023
A Simple and Scalable Representation for Graph Generation Yunhui Jang Seul Lee Sungsoo Ahn 24 4 0 04 Dec 2023
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis Lin Yao Wentao Guo Zhen Wang Shang Xiang Wentan Liu Guolin Ke 49 12 0 27 Sep 2023
A Comprehensive Review of Community Detection in Graphs Jiakang Li Songlai Ning Zhihao Shuai Yuan Tan Yifan Jia ... Yongxin Ni Haifeng Qiu Jiayu Yang Y. Lu Yonggang Lu GNN 24 20 0 21 Sep 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 24 1 0 19 Aug 2023
Autoregressive Diffusion Model for Graph Generation Lingkai Kong Jiaming Cui Haotian Sun Yuchen Zhuang B. Prakash Chao Zhang DiffM 28 65 0 17 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 41 15 0 14 Jul 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 22 3 0 20 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 31 5 0 18 Jun 2023
Generated Graph Detection Y. Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 16 0 0 13 Jun 2023
Graph Generation with $K^2$ -trees Yunhui Jang Dongwoo Kim Sungsoo Ahn 40 2 0 30 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 56 3 0 23 May 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer Cheng Tan Zhangyang Gao Lirong Wu Jun Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 37 14 0 21 Apr 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing Wei Lu Nicolas A. Lee Markus J. Buehler AI4CE 18 1 0 11 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 38 44 0 04 Apr 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Hanghang Tong Jiejun Xu Yada Zhu Jingrui He 27 7 0 30 Mar 2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows Chao Qi Jianqin Yin Jinghang Xu Pengxiang Ding 3DPC 35 4 0 21 Feb 2023
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs Weihuang Wen Tianshu Yu 11 3 0 01 Feb 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model Alexander Campbell Simeon E. Spasov N. Toschi Pietro Lio 22 0 0 26 Jan 2023
Improving Graph Generation by Restricting Graph Bandwidth N. Diamant Alex Tseng Kangway V Chuang Tommaso Biancalani Gabriele Scalia 32 7 0 25 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 30 4 0 03 Dec 2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models Muchen Li Jeffrey Liu Leonid Sigal Renjie Liao GNN 19 4 0 28 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 20 21 0 19 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 23 2 0 16 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 29 10 0 30 Oct 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning Hanxuan Yang Ruike Zhang Qingchao Kong Wenji Mao GNN 27 3 0 24 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 35 53 0 16 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 45 8 0 11 Oct 2022
Learning the Network of Graphs for Graph Neural Networks Yixiang Shan Jielong Yang Xing Liu Yixing Gao Hechang Chen S. Ge 11 0 0 08 Oct 2022