Implement Louvain as a query module
Reviewers: teon.banek, dsantl Reviewed By: teon.banek, dsantl Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D2574
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@ -7,7 +7,6 @@ include_directories(src)
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add_library(louvain-core STATIC ${SOURCES})
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set_target_properties(louvain-core PROPERTIES POSITION_INDEPENDENT_CODE ON)
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target_link_libraries(louvain-core PUBLIC Threads::Threads glog gflags)
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add_executable(louvain-main ${MAIN})
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target_link_libraries(louvain-main louvain-core)
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@ -16,6 +15,7 @@ enable_testing()
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add_subdirectory(test)
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add_library(louvain SHARED ${MODULE})
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target_link_libraries(louvain louvain-core)
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target_include_directories(louvain PRIVATE ${CMAKE_SOURCE_DIR}/include)
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if (NOT MG_COMMUNITY)
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@ -5,8 +5,6 @@
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#include <random>
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#include <unordered_map>
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#include <glog/logging.h>
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namespace {
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void OptimizeLocally(comdata::Graph *graph) {
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@ -1,12 +1,11 @@
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#include "data_structures/graph.hpp"
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#include <exception>
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#include <numeric>
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#include <unordered_map>
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#include <unordered_set>
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#include <vector>
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#include <glog/logging.h>
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namespace comdata {
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Graph::Graph(uint32_t n_nodes) : n_nodes_(n_nodes), total_w_(0) {
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@ -22,15 +21,9 @@ uint32_t Graph::Size() const {
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return n_nodes_;
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}
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uint32_t Graph::Community(uint32_t node) const {
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CHECK(node < n_nodes_) << "Node index out of range";
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return community_[node];
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}
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uint32_t Graph::Community(uint32_t node) const { return community_.at(node); }
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void Graph::SetCommunity(uint32_t node, uint32_t c) {
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CHECK(node < n_nodes_) << "Node index out of range";
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community_[node] = c;
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}
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void Graph::SetCommunity(uint32_t node, uint32_t c) { community_.at(node) = c; }
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uint32_t Graph::NormalizeCommunities() {
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std::set<uint32_t> c_id(community_.begin(), community_.end());
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@ -46,10 +39,11 @@ uint32_t Graph::NormalizeCommunities() {
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}
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void Graph::AddEdge(uint32_t node1, uint32_t node2, double weight) {
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CHECK(node1 < n_nodes_) << "Node index out of range";
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CHECK(node2 < n_nodes_) << "Node index out of range";
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CHECK(weight > 0) << "Weights must be positive";
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CHECK(edges_.find({node1, node2}) == edges_.end()) << "Edge already exists";
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if (node1 >= n_nodes_ || node2 >= n_nodes_)
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throw std::out_of_range("Node index out of range");
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if (weight <= 0) throw std::out_of_range("Weights must be positive");
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if (edges_.find({node1, node2}) != edges_.end())
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throw std::invalid_argument("Edge already exists");
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edges_.emplace(node1, node2);
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edges_.emplace(node2, node1);
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@ -66,13 +60,11 @@ void Graph::AddEdge(uint32_t node1, uint32_t node2, double weight) {
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}
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uint32_t Graph::Degree(uint32_t node) const {
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CHECK(node < n_nodes_) << "Node index out of range";
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return static_cast<uint32_t>(adj_list_[node].size());
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return static_cast<uint32_t>(adj_list_.at(node).size());
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}
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double Graph::IncidentWeight(uint32_t node) const {
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CHECK(node < n_nodes_) << "Node index out of range";
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return inc_w_[node];
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return inc_w_.at(node);
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}
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double Graph::TotalWeight() const {
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@ -98,9 +90,8 @@ double Graph::Modularity() const {
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return ret;
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}
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const std::vector<Neighbour>& Graph::Neighbours(uint32_t node) const {
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CHECK(node < n_nodes_) << "Node index out of range";
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return adj_list_[node];
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const std::vector<Neighbour> &Graph::Neighbours(uint32_t node) const {
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return adj_list_.at(node);
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}
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} // namespace comdata
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@ -40,16 +40,24 @@ public:
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/// @param node1 index of an incident node.
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/// @param node2 index of an incident node.
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/// @param weight real value which represents the weight of the edge.
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///
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/// @throw std::out_of_range
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/// @throw std::invalid_argument
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void AddEdge(uint32_t node1, uint32_t node2, double weight);
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/// @param node index of node.
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///
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/// @return community where the node belongs to.
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///
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/// @throw std::out_of_range
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uint32_t Community(uint32_t node) const;
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/// Adds a given node to a given community.
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///
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/// @param node index of node.
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/// @param c community where the given node should go in.
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///
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/// @throw std::out_of_range
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void SetCommunity(uint32_t node, uint32_t c);
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/// Normalizes the values of communities. More precisely, after invoking this
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@ -65,14 +73,20 @@ public:
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/// contribute a single edge to the degree.
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///
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/// @param node index of node.
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///
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/// @return degree of given node.
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///
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/// @throw std::out_of_range
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uint32_t Degree(uint32_t node) const;
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/// Returns the total weight of incident edges to a given node. Weight
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/// of a self loop contributes once to the total sum.
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///
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/// @param node index of node.
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///
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/// @return total incident weight of a given node.
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///
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/// @throw std::out_of_range
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double IncidentWeight(uint32_t node) const;
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/// @return total weight of all edges in a graph.
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@ -91,7 +105,10 @@ public:
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/// Returns nodes adjacent to a given node.
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///
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/// @param node index of node.
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///
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/// @return list of neighbouring nodes.
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///
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/// @throw std::out_of_range
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const std::vector<Neighbour>& Neighbours(uint32_t node) const;
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private:
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@ -1,19 +1,128 @@
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#include "mg_procedure.h"
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#include <exception>
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#include <unordered_map>
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#include "algorithms/algorithms.hpp"
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#include "data_structures/graph.hpp"
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static void communities(const mgp_list *args, const mgp_graph *graph,
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mgp_result *result, mgp_memory *memory) {
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mgp_result_record *record = mgp_result_new_record(result);
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mgp_value *hello_world_value =
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mgp_value_make_string("Louvain, fuck yeah!", memory);
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mgp_result_record_insert(record, "result", hello_world_value);
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mgp_value_destroy(hello_world_value);
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mgp_vertices_iterator *vertices_iterator =
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mgp_graph_iter_vertices(graph, memory);
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if (vertices_iterator == nullptr) {
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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// Normalize vertex ids
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std::unordered_map<int64_t, uint32_t> mem_to_louv_id;
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uint32_t louv_id = 0;
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for (const mgp_vertex *vertex = mgp_vertices_iterator_get(vertices_iterator);
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vertex != nullptr; vertex = mgp_vertices_iterator_next(vertices_iterator)) {
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mgp_vertex_id mem_id = mgp_vertex_get_id(vertex);
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mem_to_louv_id[mem_id.as_int] = louv_id;
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++louv_id;
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}
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mgp_vertices_iterator_destroy(vertices_iterator);
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// Extract the graph structure
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// TODO(ipaljak): consider filtering nodes and edges by labels.
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comdata::Graph louvain_graph(louv_id);
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for (const auto &p : mem_to_louv_id) {
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mgp_vertex *vertex = mgp_graph_get_vertex_by_id(graph, {p.first}, memory);
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if (!vertex) {
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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// iterate over inbound edges. This is enough because we will eventually
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// iterate over outbound edges in another direction.
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mgp_edges_iterator *edges_iterator =
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mgp_vertex_iter_in_edges(vertex, memory);
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if (edges_iterator == nullptr) {
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mgp_vertex_destroy(vertex);
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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for (const mgp_edge *edge = mgp_edges_iterator_get(edges_iterator);
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edge != nullptr; edge = mgp_edges_iterator_next(edges_iterator)) {
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const mgp_vertex *next_vertex = mgp_edge_get_from(edge);
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mgp_vertex_id next_mem_id = mgp_vertex_get_id(next_vertex);
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uint32_t next_louv_id = mem_to_louv_id[next_mem_id.as_int];
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// TODO(ipaljak): retrieve edge weight (default to 1)
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double weight = 1;
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try {
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louvain_graph.AddEdge(p.second, next_louv_id, weight);
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} catch (const std::exception &e) {
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mgp_vertex_destroy(vertex);
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mgp_edges_iterator_destroy(edges_iterator);
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mgp_result_set_error_msg(result, e.what());
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return;
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}
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}
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mgp_vertex_destroy(vertex);
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mgp_edges_iterator_destroy(edges_iterator);
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}
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try {
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algorithms::Louvain(&louvain_graph);
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} catch (const std::exception &e) {
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const auto msg = std::string("[Internal error] ") + e.what();
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mgp_result_set_error_msg(result, msg.c_str());
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return;
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}
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// Return node ids and their corresponding communities.
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for (const auto &p : mem_to_louv_id) {
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mgp_result_record *record = mgp_result_new_record(result);
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if (record == nullptr) {
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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mgp_value *mem_id_value = mgp_value_make_int(p.first, memory);
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if (mem_id_value == nullptr) {
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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mgp_value *com_value =
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mgp_value_make_int(louvain_graph.Community(p.second), memory);
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if (com_value == nullptr) {
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mgp_value_destroy(mem_id_value);
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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int mem_id_inserted =
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mgp_result_record_insert(record, "id", mem_id_value);
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int com_inserted =
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mgp_result_record_insert(record, "community", com_value);
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mgp_value_destroy(mem_id_value);
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mgp_value_destroy(com_value);
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if (!mem_id_inserted || !com_inserted) {
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mgp_result_set_error_msg(result, "Not enough memory!");
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return;
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}
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}
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}
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extern "C" int mgp_init_module(struct mgp_module *module,
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struct mgp_memory *memory) {
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struct mgp_proc *proc =
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mgp_module_add_read_procedure(module, "communities", communities);
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if (!mgp_proc_add_result(proc, "result", mgp_type_string())) return 1;
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if (!proc) return 1;
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if (!mgp_proc_add_result(proc, "id", mgp_type_int())) return 1;
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if (!mgp_proc_add_result(proc, "community", mgp_type_int())) return 1;
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return 0;
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}
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@ -70,12 +70,12 @@ TEST(Graph, Communities) {
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for (int i = 0; i < 100; ++i) ASSERT_EQ(graph.Community(i), i % 5);
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// Try to set communities on non-existing nodes
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ASSERT_DEATH({ graph.SetCommunity(100, 2); }, "");
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ASSERT_DEATH({ graph.SetCommunity(150, 0); }, "");
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EXPECT_THROW({ graph.SetCommunity(100, 2); }, std::out_of_range);
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EXPECT_THROW({ graph.SetCommunity(150, 0); }, std::out_of_range);
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// Try to get a the community of a non-existing node
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ASSERT_DEATH({ graph.Community(100); }, "");
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ASSERT_DEATH({ graph.Community(150); }, "");
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EXPECT_THROW({ graph.Community(100); }, std::out_of_range);
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EXPECT_THROW({ graph.Community(150); }, std::out_of_range);
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}
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TEST(Graph, CommunityNormalization) {
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@ -108,15 +108,15 @@ TEST(Graph, AddEdge) {
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comdata::Graph graph = GenRandomUnweightedGraph(5, 0);
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// Node out of bounds.
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ASSERT_DEATH({ graph.AddEdge(1, 5, 7); }, "");
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EXPECT_THROW({ graph.AddEdge(1, 5, 7); }, std::out_of_range);
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// Repeated edge
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graph.AddEdge(1, 2, 1);
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ASSERT_DEATH({ graph.AddEdge(1, 2, 7); }, "");
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EXPECT_THROW({ graph.AddEdge(1, 2, 7); }, std::invalid_argument);
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// Non-positive edge weight
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ASSERT_DEATH({ graph.AddEdge(2, 3, -7); }, "");
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ASSERT_DEATH({ graph.AddEdge(3, 4, 0); }, "");
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EXPECT_THROW({ graph.AddEdge(2, 3, -7); }, std::out_of_range);
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EXPECT_THROW({ graph.AddEdge(3, 4, 0); }, std::out_of_range);
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}
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TEST(Graph, Degrees) {
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@ -183,8 +183,8 @@ TEST(Graph, Degrees) {
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ASSERT_TRUE(DegreeCheck(graph, deg));
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// Try to get degree of non-existing nodes
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ASSERT_DEATH({ graph.Degree(5); }, "");
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ASSERT_DEATH({ graph.Degree(100); }, "");
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EXPECT_THROW({ graph.Degree(5); }, std::out_of_range);
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EXPECT_THROW({ graph.Degree(100); }, std::out_of_range);
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}
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TEST(Graph, Weights) {
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@ -256,8 +256,8 @@ TEST(Graph, Weights) {
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EXPECT_NEAR(graph.TotalWeight(), 5.5, 1e-6);
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// Try to get incident weight of non-existing node
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ASSERT_DEATH({ graph.IncidentWeight(5); }, "");
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ASSERT_DEATH({ graph.IncidentWeight(100); }, "");
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EXPECT_THROW({ graph.IncidentWeight(5); }, std::out_of_range);
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EXPECT_THROW({ graph.IncidentWeight(100); }, std::out_of_range);
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}
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TEST(Graph, Modularity) {
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