• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2022
• 
  Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
  A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47
• 
  Jiaqi Ma, Xingjian Zhang, 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: 7
• 
  Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu:
  PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. LoG 2022: 27
• 
  Ralph Abboud, Radoslav Dimitrov, Ismail Ilkan Ceylan:
  Shortest Path Networks for Graph Property Prediction. LoG 2022: 5
• 
  Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang:
  GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. LoG 2022: 44
• 
  Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver:
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. LoG 2022: 15
• 
  Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth:
  Weisfeiler and Leman Go Relational. LoG 2022: 46
• 
  Franka Bause, Nils Morten Kriege:
  Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. LoG 2022: 20
• 
  Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler:
  Neural Graph Databases. LoG 2022: 31
• 
  Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall:
  Similarity-Based Link Prediction From Modular Compression of Network Flows. LoG 2022: 52
• 
  Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
  Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. LoG 2022: 36
• 
  Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert:
  DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG 2022: 23
• 
  Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
  Metric Based Few-Shot Graph Classification. LoG 2022: 33
• 
  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: 35
• 
  Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang:
  Label-Wise Graph Convolutional Network for Heterophilic Graphs. LoG 2022: 26
• 
  Andreea Deac, Marc Lackenby, Petar Velickovic:
  Expander Graph Propagation. LoG 2022: 38
• 
  Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang:
  GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. LoG 2022: 3
• 
  Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla:
  FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG 2022: 56
• 
  Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi:
  Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning. LoG 2022: 49
• 
  Johannes Gasteiger, Chendi Qian, Stephan Günnemann:
  Influence-Based Mini-Batching for Graph Neural Networks. LoG 2022: 9
• 
  Valentina Giunchiglia, Chirag Varun Shukla, Guadalupe Gonzalez, Chirag Agarwal:
  Towards Training GNNs Using Explanation Directed Message Passing. LoG 2022: 28
• 
  Sara Hahner, Felix Kerkhoff, Jochen Garcke:
  Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. LoG 2022: 18
• 
  Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
  MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG 2022: 40
• 
  Yixuan He, Gesine Reinert, Mihai Cucuringu:
  DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG 2022: 21
• 
  Yu He, Petar Velickovic, Pietro Liò, Andreea Deac:
  Continuous Neural Algorithmic Planners. LoG 2022: 54
• 
  Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, 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: 8
• 
  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: 2
• 
  Yacouba Kaloga, Pierre Borgnat, Amaury Habrard:
  A Simple Way to Learn Metrics Between Attributed Graphs. LoG 2022: 25
• 
  Tuan Le, Frank Noé, Djork-Arné Clevert:
  Representation Learning on Biomolecular Structures Using Equivariant Graph Attention. LoG 2022: 30
• 
  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: 6

skipping 28 more matches