|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
No Growbag Graphs found.
|
|
|
|
|
Results
Found 98 publication records. Showing 98 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer |
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics.  |
LoG  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cong Fu 0003, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji |
A Latent Diffusion Model for Protein Structure Generation. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura |
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio |
Neural Algorithmic Reasoning for Combinatorial Optimisation. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel |
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tuo Xu, Lei Zou |
Rethinking Higher-Order Representation Learning With Graph Neural Networks. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lukas Faber, Roger Wattenhofer |
GwAC: GNNs With Asynchronous Communication. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini |
A Simple Latent Variable Model for Graph Learning and Inference. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zuoyu Yan, Tengfei Ma 0001, Liangcai Gao, Zhi Tang 0001, Chao Chen 0012, Yusu Wang 0001 |
Cycle Invariant Positional Encoding for Graph Representation Learning. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur |
Generative Modeling of Labeled Graphs Under Data Scarcity. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vasileios Baltatzis, Luca Costabello |
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao |
Will More Expressive Graph Neural Networks Do Better on Generative Tasks? |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cong Fu 0003, Jacob Helwig, Shuiwang Ji |
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar |
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Josef Hoppe, Michael T. Schaub |
Representing Edge Flows on Graphs via Sparse Cell Complexes. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Raffaele Pojer, Andrea Passerini, Manfred Jaeger |
Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger |
Meta-Path Learning for Multi-Relational Graph Neural Networks. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra |
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vincent Peter Grande, Michael T. Schaub |
Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson 0001, Yanqiao Zhu 0001, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan |
The Second Learning on Graphs Conference: Preface. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shiqing Yu, Mathias Drton, Ali Shojaie |
Interaction Models and Generalized Score Matching for Compositional Data. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Velickovic |
Asynchronous Algorithmic Alignment With Cocycles. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonas Jürß, Dulhan Hansaja Jayalath, Petar Velickovic |
Recursive Algorithmic Reasoning. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Etzion Harari, Naphtali Abudarham, Roee Litman |
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras |
Spectral Subgraph Localization. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein |
Edge Directionality Improves Learning on Heterophilic Graphs. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia Gel, Baris Coskunuzer |
EMP: Effective Multidimensional Persistence for Graph Representation Learning. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic |
Parallel Algorithms Align With Neural Execution. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup |
MUDiff: Unified Diffusion for Complete Molecule Generation. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy |
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Soledad Villar, Benjamin Chamberlain 0001 (eds.) |
Learning on Graphs Conference, 27-30 November 2023, Virtual Event. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert |
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lukas Fesser, Melanie Weber 0001 |
Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vladimir V. Mirjanic, Razvan Pascanu, Petar Velickovic |
Latent Space Representations of Neural Algorithmic Reasoners. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong |
BeMap: Balanced Message Passing for Fair Graph Neural Network. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andreas Roth, Thomas Liebig |
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler |
HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Danielle S. Bassett |
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro |
Transferable Hypergraph Neural Networks via Spectral Similarity. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jing Gu, Dongmian Zou |
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. |
LoG |
2023 |
DBLP BibTeX RDF |
|
| 1 | Emanuele Rossi, Henry Kenlay, Maria I. Gorinova 0001, Benjamin Paul Chamberlain, Xiaowen Dong 0001, Michael M. Bronstein |
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò |
Learning Graph Search Heuristics. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang |
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ruochen Yang, Frederic Sala, Paul Bogdan |
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Han Gao 0005, Xu Han 0012, Jiaoyang Huang, Jian-Xun Wang 0001, Liping Liu 0001 |
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tuan Le, Frank Noé, Djork-Arné Clevert |
Representation Learning on Biomolecular Structures Using Equivariant Graph Attention. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin 0006, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu |
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xiyuan Wang, Muhan Zhang |
Graph Neural Network With Local Frame for Molecular Potential Energy Surface. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler |
Neural Graph Databases. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yiwei Wang 0001, Bryan Hooi, Yozen Liu, Tong Zhao 0003, Zhichun Guo, Neil Shah |
Flashlight: Scalable Link Prediction With Effective Decoders. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Simon Zhang, Soham Mukherjee, Tamal K. Dey |
GEFL: Extended Filtration Learning for Graph Classification. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall |
Similarity-Based Link Prediction From Modular Compression of Network Flows. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi |
Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yixuan He, Gesine Reinert, Mihai Cucuringu |
DIGRAC: Digraph Clustering Based on Flow Imbalance. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell |
Reasoning-Modulated Representations. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jiaqi Ma 0001, Xingjian Zhang 0002, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei |
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yacouba Kaloga, Pierre Borgnat, Amaury Habrard |
A Simple Way to Learn Metrics Between Attributed Graphs. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Valentina Giunchiglia, Chirag Varun Shukla, Guadalupe Gonzalez, Chirag Agarwal |
Towards Training GNNs Using Explanation Directed Message Passing. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andreea Deac, Marc Lackenby, Petar Velickovic |
Expander Graph Propagation. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang |
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek |
Taxonomy of Benchmarks in Graph Representation Learning. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang 0001 |
Well-Conditioned Spectral Transforms for Dynamic Graph Representation. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang 0001, Suhang Wang |
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu 0001 |
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Euan Ong, Petar Velickovic |
Learnable Commutative Monoids for Graph Neural Networks. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert |
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan |
CEP3: Community Event Prediction With Neural Point Process on Graph. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tong Zhao 0003, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao 0001, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang 0001 |
AutoGDA: Automated Graph Data Augmentation for Node Classification. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver |
DiffWire: Inductive Graph Rewiring via the Lovász Bound. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup |
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Paul Scherer, Pietro Liò, Mateja Jamnik |
Distributed Representations of Graphs for Drug Pair Scoring. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury |
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang |
Label-Wise Graph Convolutional Network for Heterophilic Graphs. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Sara Hahner, Felix Kerkhoff, Jochen Garcke |
Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alexandru Cristian Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie |
A Systematic Evaluation of Node Embedding Robustness. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes |
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kaiwen Dong, Yijun Tian 0001, Zhichun Guo, Yang Yang 0008, Nitesh V. Chawla |
FakeEdge: Alleviate Dataset Shift in Link Prediction. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Johannes Gasteiger, Chendi Qian, Stephan Günnemann |
Influence-Based Mini-Batching for Graph Neural Networks. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Simone Piaggesi, André Panisson, Giovanni Petri |
Effective Higher-Order Link Prediction and Reconstruction From Simplicial Complex Embeddings. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Sabbaqi, Riccardo Taormina, Alan Hanjalic, Elvin Isufi |
Graph-Time Convolutional Autoencoders. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu |
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic |
A Generalist Neural Algorithmic Learner. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang 0001 |
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ralph Abboud, Radoslav Dimitrov, Ismail Ilkan Ceylan |
Shortest Path Networks for Graph Property Prediction. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu 0001, Jiayuan Mao |
Sparse and Local Networks for Hypergraph Reasoning. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis |
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng |
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà |
Metric Based Few-Shot Graph Classification. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bastian Rieck, Razvan Pascanu (eds.) |
Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yanqiao Zhu 0001, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu 0006, Shu Wu |
A Survey on Deep Graph Generation: Methods and Applications. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek |
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson 0001, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu 0001, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov |
The First Learning on Graphs Conference: Preface. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | David Montero, J. Javier Yebes |
Combining Graph and Recurrent Networks for Efficient and Effective Segment Tagging. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Pablo Barceló, Mikhail Galkin 0001, Christopher Morris 0001, Miguel A. Romero Orth |
Weisfeiler and Leman Go Relational. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yu He, Petar Velickovic, Pietro Liò, Andreea Deac |
Continuous Neural Algorithmic Planners. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuhong Luo, Pan Li |
Neighborhood-Aware Scalable Temporal Network Representation Learning. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Franka Bause, Nils Morten Kriege |
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. |
LoG |
2022 |
DBLP BibTeX RDF |
|
| 1 | Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas |
Neural Graph Modelling of Whole Slide Images for Survival Ranking. |
LoG |
2022 |
DBLP BibTeX RDF |
|
Displaying result #1 - #98 of 98 (100 per page; Change: )
|
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")
data released under the ODC-BY 1.0 license